海底浅层声学探测空间数据集成与融合模型及GIS表达研究
|
摘要
21世纪被称为“海洋的世纪”。新兴的海底科学是海洋科学研究的重点领域和前沿领域之一。由于海底很大程度上还是极待探索的未知世界,海底探测技术研究在海底科学中占有相当重要的地位。当前,海底探测主要依赖于声学探测技术,特别是海底浅层声学探测。海底浅层声学探测技术包括侧扫声呐技术、多波束技术和浅地层剖面技术三个分支,分别用于获取海底地貌信息、地形信息和浅地层沉积物信息。海底浅层声学技术采集的多源异构数据属地理空间数据的范畴。然而,由于该技术及应用发展迅速,呈几何级数般增长的采集数据,尚未系统采用GIS高效管理空间数据的新技术和地理空间数据集成和融合的理论、方法,以致三个分支的声学探测空间数据,在国内外至今仍处于集成度很低的状态,更未能得到高效的管理,使海量的海底浅层声学探测空间数据远未能发挥其应有的价值。本文将采用GIS新技术,应用地理空间数据集成和融合的理论、方法,建立海底浅层声学探测空间数据的集成与融合模型,实现三分支技术采集的声学探测空间数据的有效融合和海量融合数据的高效管理;并在此基础上,研发一套海底浅层声学探测空间融合数据的三维表达原型系统。
在分析海底浅层声学探测技术业务内容的基础上,论文的研究工作主要集中在以下四个方面:
(1)海底浅层声学探测空间数据集成。在GIS空间数据集成的相关研究基础上,针对海底浅层声学探测空间数据采集和处理过程中存在的不确定性,进行了基于主题(Theme Based,THB)的海底浅层声学探测空间数据集成模型研究。
(2)海底浅层声学探测空间数据融合。论文在GIS空间数据融合的相关研究基础上,面向海底管线路由检测的应用,进行了基于空间特征、面向应用的(Spatial FeatureBased and Application Oriented,SFBAO)海底浅层声学探测空间数据融合模型的研究。
(3)海底浅层声学探测数据的管理与GIS表达。论文基于面向对象的空间数据库技术,实现了海底浅层声学探测空间数据的高效管理。提出了海底浅层空间声学探测成果2维、2.5维的一致性表达方式,以及基于体绘制的海底浅层三维空间一致性表达方式,并阐述了其表达流程。
(4)基于GIS的原型系统。在上述研究基础上,结合杭州湾海底管线路由检测的具体应用,进行了基于GIS的原型系统研发,实现了海底管线路由检测中声学探测空间数据的融合和高效管理,提供了融合数据的三维表达方法。
研究表明,论文建立的海底浅层声学探测空间数据集成与融合模型,较好地解决了该领域内数据集成度低和管理效率低的问题;提出的海底浅层三维空间一致性表达方式,形象地进行了探测成果的三维表达。该研究成果对海底浅层声学探测数据在相关领域内的应用,具有普遍实用价值。
The 21st century has been called "the century of ocean".The emerging submarine science is one of the important and cutting edge fields of marine scientific research.Since most of the submarine area is unknown and badly in need of exploring,researches on submarine exploration technology play a significantly important role in submarine science.At present,submarine exploration mainly relies on acoustic exploration technology,especially acoustic exploration technology on the sub-bottom submarine.The submarine sub-bottom acoustic exploration technology includes three branches:side-scan sonar technique, multi-beam echo sounder technique and sub-bottom profiler technique.The side-scan sonar is mainly used to acquire the high-resolution seafloor relief image,the multi-beam echo sounder is mainly to acquire the high-precise seafloor topography information and the sub-bottom profiler is mainly to get more details about the submarine sediment.These acquired multi-source heterogeneous data belong to the scope of geospatial data.However,integration and fusion on these large volume of geospatial data acquired by the rapid developing submarine sub-bottom acoustic exploration techniques have not yet received much attention to be efficiently managed systematically by GIS(Geographic Information Science) spatial data management new technologies and geospatial data integration and fusion theories and methods.So the spatial data collected by the three branches of submarine sub-bottom acoustic exploration technology are still in a very low integrating level at home and abroad,not to mention the high efficient data management.The large amount of these submarine sub-bottom acoustic exploring spatial data can not achieve its desired value without a highly efficient data management.The innovative GIS technologies,including theories and methods on the geospatial data integration and fusion,are used here to establish the new integration and fusion models to effectively integrate and efficiently manage the geospatial data collected by the three braches techniques.Meanwhile,a prototype software system is developed to implement 3-D representation of these geospatial data and its integration.
Based on the analysis on submarine sub-bottom acoustic exploration technologies,the following four aspects are mainly studied:
(1)Integration of geospatial data collected by submarine sub-bottom acoustic exploration. Based on the studies related to GIS spatial data integration and the uncertainties in data collecting and processing,the study on theme-based data integration model is carried out.
(2)Fusion of the geospatial data collected by submarine sub-bottom acoustic exploration. Based on the studies related to GIS data fusion and application of submarine pipe route inspection,a spatial-characteristic-based data fusion model is carried out.
(3)Management and GIS Representation of submarine sub-bottom acoustic exploration data.The highly efficient management to submarine sub-bottom acoustic exploration geospatial data is implemented based on object-oriented spatial database technoloqy. The strategies on 2-D and 2.5-D consistent representation for the submarine sub-bottom acoustic exploring data are proposed,and the volume rendering-based method for 3-D consistent representation of the submarine sub-bottom geospatial is also proposed,in which method the flow of the 3-D representation is also introduced.
(4)A GIS-based prototype system.A GIS-based system for submarine pipe route inspection data management is developed based on research results of this dissertation and our background on the submarine pipe route inspection by submarine sub-bottom acoustic exploration technology in Hangzhou Bay.The software system implements the acoustic exploring spatial data fusion in the inspection,the high efficient data management and the 3-D representation of the fused geospatial.
The significant results of this dissertation include three aspects,a) The established models for integration and fusion of the submarine sub-bottom acoustic exploration data can solve the existing problems,e.g.,very low level of data integration,low efficiency in data management,b) The proposed method for the consistent representation of submarine sub-bottom 3-D geospatial data can represent the exploring results visually,c) The research results of this dissertation can be extensively applied in many fields which use submarine sub-bottom acoustic exploration technology to collect its data.
在分析海底浅层声学探测技术业务内容的基础上,论文的研究工作主要集中在以下四个方面:
(1)海底浅层声学探测空间数据集成。在GIS空间数据集成的相关研究基础上,针对海底浅层声学探测空间数据采集和处理过程中存在的不确定性,进行了基于主题(Theme Based,THB)的海底浅层声学探测空间数据集成模型研究。
(2)海底浅层声学探测空间数据融合。论文在GIS空间数据融合的相关研究基础上,面向海底管线路由检测的应用,进行了基于空间特征、面向应用的(Spatial FeatureBased and Application Oriented,SFBAO)海底浅层声学探测空间数据融合模型的研究。
(3)海底浅层声学探测数据的管理与GIS表达。论文基于面向对象的空间数据库技术,实现了海底浅层声学探测空间数据的高效管理。提出了海底浅层空间声学探测成果2维、2.5维的一致性表达方式,以及基于体绘制的海底浅层三维空间一致性表达方式,并阐述了其表达流程。
(4)基于GIS的原型系统。在上述研究基础上,结合杭州湾海底管线路由检测的具体应用,进行了基于GIS的原型系统研发,实现了海底管线路由检测中声学探测空间数据的融合和高效管理,提供了融合数据的三维表达方法。
研究表明,论文建立的海底浅层声学探测空间数据集成与融合模型,较好地解决了该领域内数据集成度低和管理效率低的问题;提出的海底浅层三维空间一致性表达方式,形象地进行了探测成果的三维表达。该研究成果对海底浅层声学探测数据在相关领域内的应用,具有普遍实用价值。
The 21st century has been called "the century of ocean".The emerging submarine science is one of the important and cutting edge fields of marine scientific research.Since most of the submarine area is unknown and badly in need of exploring,researches on submarine exploration technology play a significantly important role in submarine science.At present,submarine exploration mainly relies on acoustic exploration technology,especially acoustic exploration technology on the sub-bottom submarine.The submarine sub-bottom acoustic exploration technology includes three branches:side-scan sonar technique, multi-beam echo sounder technique and sub-bottom profiler technique.The side-scan sonar is mainly used to acquire the high-resolution seafloor relief image,the multi-beam echo sounder is mainly to acquire the high-precise seafloor topography information and the sub-bottom profiler is mainly to get more details about the submarine sediment.These acquired multi-source heterogeneous data belong to the scope of geospatial data.However,integration and fusion on these large volume of geospatial data acquired by the rapid developing submarine sub-bottom acoustic exploration techniques have not yet received much attention to be efficiently managed systematically by GIS(Geographic Information Science) spatial data management new technologies and geospatial data integration and fusion theories and methods.So the spatial data collected by the three branches of submarine sub-bottom acoustic exploration technology are still in a very low integrating level at home and abroad,not to mention the high efficient data management.The large amount of these submarine sub-bottom acoustic exploring spatial data can not achieve its desired value without a highly efficient data management.The innovative GIS technologies,including theories and methods on the geospatial data integration and fusion,are used here to establish the new integration and fusion models to effectively integrate and efficiently manage the geospatial data collected by the three braches techniques.Meanwhile,a prototype software system is developed to implement 3-D representation of these geospatial data and its integration.
Based on the analysis on submarine sub-bottom acoustic exploration technologies,the following four aspects are mainly studied:
(1)Integration of geospatial data collected by submarine sub-bottom acoustic exploration. Based on the studies related to GIS spatial data integration and the uncertainties in data collecting and processing,the study on theme-based data integration model is carried out.
(2)Fusion of the geospatial data collected by submarine sub-bottom acoustic exploration. Based on the studies related to GIS data fusion and application of submarine pipe route inspection,a spatial-characteristic-based data fusion model is carried out.
(3)Management and GIS Representation of submarine sub-bottom acoustic exploration data.The highly efficient management to submarine sub-bottom acoustic exploration geospatial data is implemented based on object-oriented spatial database technoloqy. The strategies on 2-D and 2.5-D consistent representation for the submarine sub-bottom acoustic exploring data are proposed,and the volume rendering-based method for 3-D consistent representation of the submarine sub-bottom geospatial is also proposed,in which method the flow of the 3-D representation is also introduced.
(4)A GIS-based prototype system.A GIS-based system for submarine pipe route inspection data management is developed based on research results of this dissertation and our background on the submarine pipe route inspection by submarine sub-bottom acoustic exploration technology in Hangzhou Bay.The software system implements the acoustic exploring spatial data fusion in the inspection,the high efficient data management and the 3-D representation of the fused geospatial.
The significant results of this dissertation include three aspects,a) The established models for integration and fusion of the submarine sub-bottom acoustic exploration data can solve the existing problems,e.g.,very low level of data integration,low efficiency in data management,b) The proposed method for the consistent representation of submarine sub-bottom 3-D geospatial data can represent the exploring results visually,c) The research results of this dissertation can be extensively applied in many fields which use submarine sub-bottom acoustic exploration technology to collect its data.
引文
R.J.尤立克著,洪申译.水声原理[M].哈尔滨:哈尔滨船舶工程学院出版社,1990:14-23.
SEG技术标准委员会.SEGY数据新标准:SEG Y rev 1.0[J].油气地球物理,王侠摘译,2006,第4卷第4期:50-52.
布列霍夫斯基赫,雷桑诺夫.海洋声学基础[M].北京:海洋出版社,1985,1-39.
丛鸿文等.侧扫声呐典型声图集[M].中国人民解放军海军司令部航海保证部,1989.
陈常松,何建邦.基于地理要素的资源与环境数据的组织方法[J].地理学报,1999年7月,第54卷第4期:373-381.
陈常松,张传霞.GIS语义共享的实质及其实现途径[J].测绘科学,2000年第25卷第1期:29-33.
陈锁忠,黄家柱,张金善等.基于GIS的孔隙水文地质层三维空间离散方法[J].水科学进展,2004,第15卷第5期:634-639.
陈建.基于网络虚拟地理环境技术研究初探[D].硕士学位论文,杭州:浙江大学,2005.
陈传彬,邬群勇,陈崇成.基于GML的多源异构空间数据集成框架研究[J].计算机应用与研究,2005,第30卷第5期:53-55.
陈楠.多源空间数据集成的技术难点分析和解决策略[J].计算机应用研究,2005,第10期:206-208.
陈荤.分布式地理空间数据服务集成技术研究[D].博士学位论文,长沙:国防科技大学,2005.
崔铁军,郭黎.多源地理空间矢量数据集成与融合方法探讨[J].测绘科学技术学报,2007,第24卷第1期:1-4.
陈拥锋.基于IDL与C++Builder的三维地质可视化开发[J].工程地球物理学报,2007,第4卷第41期:355-359.
陈俊文.基于X3D的三维地理数据模型设计与实现[D].硕士学位论文,杭州:浙江大学,2008.
邓雪清,巩丹超,罗睿.侧扫声呐图像地理编码技术研究[J].海洋测绘,2002,第22卷第4期:14-17.
范震寰.多波束测深关键技术研究[D].硕士学位论文,南京:南京航空航天大学,2005.
国家质量技术监督局.中华人民共和国国家标准-海道测量规范,GB12327-1998.北京:中国标准出版社,1998年.
高峰.《北京电信地理信息系统》多源数据融合问题的研究[J].《北京电信科技)2000年第2期:26-30.
高金耀,方银霞,徐赛英.原始多波束数据的格式转换与统一[J].海洋通报,2002,第21卷第6期:68-74.
国家技术监督局.GB50021-2001中华人民共和国国家标准-岩土工程勘察规范[S].北京:中国建筑工业出版社,2002.
高俊国,李增林,杜军.侧扫声呐系统成图中的位移、变形和噪音问题[J].海岸工程,2003,第22卷第2期:44-50.
郭黎,崔铁军,吴正升.多源数字地图融合技术问题的研究[J].海洋测绘,20O2年3月,第22卷第2期:22-25.
郭黎.空间矢量数据融合问题的研究[D].硕士学位论文,武汉:武汉大学,2003.
郭黎,崔铁军,王玉海等.多源空间数据融合技术探讨[J].地理信息世界,2007,第一期:62-66.
高锡章.基于大型数据库的海洋GIS设计与自主开发研究[D].博士学位论文,杭州:浙江大学,2004.
高艳婷.数据融合技术在海陆联合地理信息系统中的研究与设计[D].硕士学位论文,哈尔滨:哈尔滨工程大学,2007.
黄裕霞,陈常松,何建邦.GIS的互操作.中国地理信息系统协会.中国海外地理信息系统协会1998年年会论文集,1998:108-113.
何国金,李克鲁,胡德永等.多卫星遥感数据的信息融合:理论、方法与实践[J].中国图象图形学报,1999年9月,第4卷(A版)第9期:744-750.
黄谟涛,翟国君,欧阳永忠等.多波束与单波束测深数据的融合处理技术[J].测绘学报,2001,第30卷第4期:299-303.
黄裕霞,柯正谊,何建邦等.面向GIS语义共享的地理单元及其模型[J].计算机工程 与应用,2002,11:118-122.
黄海峰,包世泰,黎华等.初探IDL在地质三维建模中的应用[J].地质与勘探,2004,第40卷第6期:53-56。
韩玲,吴汉宁.多源遥感影像数据融合的理论与技术[J].西北大学学报(自然科学版),2004年8月,第34卷第4期:457-460.
韩玲.多源遥感信息融合技术及多源信息在地学中的应用研究[D].硕士学位论文,西安:西北大学,2005:15-22.
韩振东,张军,蒋涛.基于Direct3D多分辨率地形建模方法的研究[J].测绘科学,2006,第31卷第6期:143-145.
韩培友.IDL可视化分析与应用[M].西安:西北工业大学出版社,2006.
胡建炯,姜小俊,任少华等.多种物探仪器在海底路由管线检测中的综合应用探讨[C].第三届长三角科技论坛(测绘分论坛)暨2006江苏省测绘学术年会论文集,2006:34-36.
胡圣武,张卷美,王新洲等.空间数据融合的基本框架[J].测绘科学,2007,第32卷第3期:175-177.
黄杰.海洋环境综合数据建模与可视化研究[D].博士学位论文,杭州:浙江大学,2008.
胡圣武,李鲲鹏.三维GIS关键技术的研究[J].地理空间信息,2008,第6卷第3期:9-12.
贾永红,李德仁,孙家柄.多源遥感影像数据融合[J].遥感技术与应用,2000年3月,第15卷第1期:41-44.
季文赟,林亦俊,张叔英.地质声呐记录的图像处理与地层识别技术研究[J].声学学报,2001,第26卷第4期:365-371.
金翔龙.海底科学与发展战略[C].中国海洋学会海底科学分会成立暨海底科学发展战略研讨会,海底科学战略研讨会论文集,杭州,2003.
贾晖.数据集成中间件研究与实现[D].硕士学位论文,西安:西北大学,2005:7-10.
金翔龙.海洋、海洋经济与人类未来[J].海洋学研究,2006年,第24卷,第2期:1-7.
金翔龙.海洋地球物理研究与海底探测声学技术的发展[J].地球物理学进展,2007,第22卷第4期:1243-1249.
姜小俊,张海鹏.一种用于海底路由管线检测的3维管线模型快速建立方法研究[J]. 测绘通报,2007,第11期:17-19.
贾瑞生,姜岩,孙红梅等.基于IDL三维地形建模及可视化技术研究[J].测绘科学,2008,第33卷第6期:113-115.
李启虎.声呐信号处理引论[M].北京:海洋出版社,1985,91-166.
李家彪.多波束勘测原理技术与方法[M].北京:海洋出版社,1999:13-41.
李军,周成虎.地球空间数据集成多尺度问题基础研究[J].地球科学进展,2000,2,第15卷第1期:48-52.
林珲,闾国年,宋志尧.东中国海潮波系统与海岸演变模拟研究[M].北京:科学出版社,2000.
刘保国.虚拟现实建模语言vrml[EB/OL].http://media.ccidnet.com/media/ciw/895/b0101.htm,2000.
李军,费川云.地球空间数据集成研究概括[J].地理科学进展,2000,9,第19卷第3期:203-211.
李军,庄大方.地学数据集成的理论基础与集成体系[J].地理科学进展,2001,6,第20卷第2期:137-145.
李军,滕惠忠.侧扫声呐数据的格式转换及应用[J].海洋测绘,2002a,第22卷第2期:36-38.
李军,周成虎.地球空间数据集成多尺度问题及基础研究[J].地球科学进展,2002b,第15卷第1期:48-52.
林宁.海洋三维地理信息系统数据模型研究[J].海洋信息,2002,第3期:11-14.
刘南,刘仁义.地理信息系统[M].北京:高等教育出版社,2002.
刘经南,赵建虎.多波束测深系统的现状和发展趋势[J].海洋测绘,2002,第22卷第5期:3-6.
罗深荣.侧扫声呐和多波束测深系统在海洋调查中的综合应用[J].海洋测绘,2003,第23卷第1期:22-24.
李军.利用OPENGL构建海洋三维景观的方法研究[J].海洋测绘,2003,第23卷第5期:51-54.
刘卓夫,桑恩方.基于纹理的声呐图像识别[J].计算机工程,2004,第30卷第14期:113-115.
李瑞轩.异构信息集成中的查询处理与优化研究[D].博士学位论文,武汉:华中科 技大学,2004:15-16.
雷伟刚.空间数据线要素综合的不确定性与数据处理[D].博士学位论文,上海:同济大学,2004.
李德仁.论广义空间信息网格和狭义空间信息网格[J].遥感学报,2005,第9卷,第5期:513-519.
卢海霞,杨耀权,苏杰等.基于Java3D实现散乱数据点三角剖分的算法[J].华北电力大学学报,2005,第32卷第6期:33-36.
刘保华,丁继胜,裴彦良.海洋地球物理探测技术及其在近海工程中的应用[J].海洋科学进展,2005,第23卷第3期:374-384.
连剑波.基于XML的地质数据集成及WebGIS发布研究[D].博士学位论文,广州:中科院广州地球化学研究所,2006.
来向华,马建林,潘国富等.多波束测深技术在海底管道检测中的应用[J].海洋工程,2006,第24卷第3期:68-73.
刘树东.GeoSwath条带测深系统精度分析[J].中国港湾建设,2006,第1期:26-29.
陆秀平,黄谟涛,翟国君等.多波束测深数据处理及管理系统设计与开发[J].海洋测绘,2006,第26卷第6期:1-5.
李立新,徐志良.海洋战略是构筑中国海外能源长远安全的优选国策--缓解“马六甲困局”及其他[J].海洋开发与管理,2006年,4期:3-8.
李海涛.海洋环境信息集成方法研究与新一代MAGIS平台软件开发[D].博士学位论文,青岛:中国海洋大学,2007.
卢博,李赶先,黄韶健.用声学三参数判别海底沉积物性质[J].声学技术,2007第26卷第1期:6-14.
刘刚,赵荣,刘纪平等.澜沧江流域降水量空间分布的克里格插值分析[J].测绘科学,2007,第32卷第3期:104-105.
李勇,包世泰,周品等.ECDIS与GIS数据集成研究[J].测绘科学,2007,第32卷第4期:135-137.
李军,吴自银,尚继宏等.多波束UNB数据文件格式的解析及应用[J].海洋学研究,2007,第2 5卷第2期:74-82.
梁珺,郑辉.空间数据融合的多尺度转换[J].中国资源综合利用,2007,第25卷第11期:39-41.
吕蓬,张立朝,王耿峰.空间数据融合在海图中的应用[J].测绘通报,2007,第11期:43-45.
刘强,卢博.南海浅海海底沉积物的声衰减[J].海洋学报,2008,第30卷第4期:48-55.
李连营,许小兰,吴中恒等.多源导航电子地图数据融合更新方法研究[J].武汉大学学报·信息科学版,2008年4月,第33卷第4期:409-412.
刘秋生,崔铁军,翟京生等.基于转换模式的多源数字海图融合研究[J].海洋测绘,2008年3月,第28卷第2期:60-63.
刘伟伟,张军.一种基于VRML的大规模场景中LOD节点的改进方法[J].测绘科学,2008,第33卷增刊:124-126.
马洪超,胡光道.地学数据融合技术综述[J].地质科技情报,1999,第18卷,第1期:97-101.
马劲松.海岸海洋数字界面系统模型与数字海洋研究[DI.博士学位论文,南京:南京大学,2001.
马劲松,朱大奎.海岸海洋潮流模拟可视化与虚拟现实建模[J].测绘学报,2002,31(1):49-53.
马照亭,潘懋,林晨等.多源空间数据的共享与集成模式研究[J].计算机工程与应用,2002.24:31-34.
马胜中,陈炎标,陈太浩.近岸海底管线路由调查与管线的探测[J].南海地质研究,2005年,第1期:101-108.
孟凡荣,闫秋艳.基于GML的异构空间数据融合模型研究与设计[J].计算机应用与研究,2005,25:162-171.
孟祥军.中国国家海洋战略构建研究[D].硕士学位论文,成都:电子科技大学,2006.
孟耀伟,舒国权,王山东.三维地学建模理论研究与实现[J].地理空间信息,2008,第6卷第4期:74-77.
彭煜玮,彭智勇.空间数据融合技术的研究[J].计算机工程,2007,第33卷第18期:51-55.
祁羽.基于Mediator/Wrapper体系的分布式空间数据集成体系研究[D].硕士学位论文,长沙:国防科技大学,2005.
宋关福,钟耳顺,刘纪远等.多源空间数据无缝集成研究[J].地理科学进展,2000,第19卷第2胡:110-115.
孙雁.Internet环境下多源地理数据集成研究[D].硕士学位论文,武汉:武汉大学,2004.
盛业华,刘平,袁林旺等.地学现象三维空间模拟一以点源烟气扩散为例[J].地球信息科学,2005,第7卷第3期:16-26.
苏天赟.海底多维综合数据建模及可视化技术研究[D].博士学位论文,青岛:中国海洋大学,2006.
施加松.网络三维GIS若干技术问题研究[D].硕士学位论文,郑州:中国人民解放军信息工程大学,2006.
沙宗尧.空间数据仓库体系结构框架的概念模型[J].地理空间信息,2008,第6卷第1期:18-21.
滕惠忠.海底地貌声呐图像处理方法的研究[D]郑州:解放军测绘学院,1998:40-50.
唐秋华,刘忠臣,周兴华.多波束海底底质分类软件Simrad Triton的应用[J],2002,第22卷第4嘲:21-24.
滕惠忠,邓雪清,郭思海.侧扫声呐数据库管理设计[J].海洋测绘,2003,第23卷第1期:27-30.
滕惠忠,严晓明,李胜全等.侧扫声呐图像增强技术[J].海洋测绘,2004,第24卷第2期:47-49.
唐秋华,陈义兰,周兴华等.多波束海底声像图的形成及应用研究[J],海洋测绘,2004第24卷第5期:9-12.
陶春辉,金翔龙,许枫等.海底声学底质分类技术的研究现状与前景[J].东海海洋,2004,第22卷第3期:28-33.
田友强.基于J2EE和XML的海洋数据集成系统原型设计与实现[D].硕士学位论文,青岛:中国海洋大学,2005.
唐桂芬,廖巍,陈荤等.面向地理数据服务的空间数据集成关键技术研究[J].计算机科学,2007,Vol.34,No.9:99-102.
王闰成.侧扫声呐图像变形现象与实例分析[J],海洋测绘,2002,第22卷,第5期:42-45.
吴英姿,徐新盛,乔力争.多波束测深系统的精度评估方法研究[J].海洋技术,2003,第22卷第3期:65-69.
吴信才,史文中.地理信息系统原理与算法[M].北京:科学出版社,2003.
吴少琴.多波束条带测深仪拼接图技术的研究[D].硕士论文.哈尔滨:哈尔滨工程大学,2003.
汪璟玢.空间数据仓库的数据集成研究[D].硕士学位论文,福州:福州大学,2003.
王广军,武文波.多源遥感数据融合方法探讨[J].辽宁工程技术大学学报,2004年6月,第23卷第3期:299-301.
王靓,朱科军,赵京伟等.几种三维图像软件的性能差异与分析研究[J].核电子学与探测技术,2006,第26卷第6期:813-816.
韦家宏.栅格、矢量结构在空间数据融合中的技术及应用初探[EB/OL].http://www.gissky.net/Soft/paper/2006-07-11/23.html,2006.
吴孟泉,宋晓东,崔伟宏.基于本体的异构空问数据的集成研究[J].武汉大学学报·信息科学版,2007年10月,第32卷第10期:915-918.
邬群勇,王钦敏,张爱国.面向网络的空间数据多级集成和服务模式[J].华侨大学学报(自然科学版),2008,1,第29卷第1期:102-105.
王崇明,王泽民,李建虎.UNB多波束数据格式解析[J].测绘信息与工程,2008,33(3):13-14.
许枫,丛鸿文.侧扫声呐图像判别[J],海洋测绘,2001,第一期:58-61.
夏登文.数字海洋基础数据及业务流程建模方法及相关技术研究[D].博士学位论文,沈阳:东北大学,2006.
许枫,魏建江.第七讲侧扫声呐[J].物理,2006,35卷12期:1034-1037.
阳凡林.多波束和侧扫声呐数据融合及其在海底底质分类中的应用[D].博士学位论文,武汉:武汉大学,2003.
阳凡林,刘经南,赵建虎.基于数据融合的侧扫声呐图像预处理[J].武汉大学学报·信息科学版,2004,29(5):402-406.
杨词银,许枫.基于分形维的底质分类[J].海洋测绘,2004,第24卷第6期:5-8.
袁洋,李善平.基于web语义的本体映射方法综述[J].计算机科学,2004,第31卷,第5期:5-8.
尹潘,胡光道.基于GDW的空间数据融合[J].吉林大学学报(地球科学版),2006,第 36卷第3期:486-490。
叶海智,桂伟峰.基于VRML的虚拟场景的优化研究[J].河南师范大学学报(自然科学版),2007,第35卷第4期:177-179.
尤仙爱.基于本体的数据集成研究[D].硕士学位论文,武汉:中南大学,2007.
张叔英.地声学:一门研究海底的重要学科[J].1997,物理:280-285.
中华人民共和国交通部.JTJ240-97中华人民共和国行业标注-港口工程地质勘察规范》[S].北京:人民交通出版社,1999.
张桥平,李德仁,龚建雅.地图合并技术[J].测绘通报,2001年,第7期:6-8.
张桥平.地图数据库实体匹配与合并技术研究[D].博士学位论文,武汉:武汉大学,2002.
赵宇,刘冀伟,王志良.油田勘探决策支持系统的SegY文件处理研究[J].石油工业计算机应用,2 003,第11卷第4期:9-11.
张凯选.基于地质灾害的异源空间数据集成方法研究[D].硕士学位论文,阜新:辽宁工程技术大学,2004.
张政民.数字海底系统多源异构数据融合及网络发布技术研究[D].硕士学位论文,青岛:中国海洋大学,2004.
曾旭平,阳凡林,李陶等.基于SOFM网络的声图非监督分类[J].武汉大学学报·信息科学版,2004,第29卷第11期:977-980.
朱瑞芳,宋伟东,于欢.多源空间数据的融合技术[J].辽宁工程技术大学学报,2005,第24卷增刊:60-62
张小超,王精业,梁强.基于Direct3D的虚拟战场环境中动态地形的实现方法[J].系统仿真学报,2005,第17卷第5期:1145-1148.
仲淑姮.矿山GIS空间数据的集成[J].东北大学学报(自然科学版),2005,8,第25卷增刊2:115-117.
郑茂辉,冯学智,蒋莹滢等.面向GIS多重表达的本体语义模型[J].遥感信息,2006,第5期:12-16.
周娜娜.基于联邦数据库的信息集成[D].硕士学位论文,重庆:重庆大学,2006:8-9.
张绪冰,关泽群,张铁良.基于Java3D虚拟场景的关键技术[J].安徽农业科学,2007,第35卷34期:11328-11330.
赵利民.基于GIS层状地质体三维可视化研究[D].硕士学位论文,东营:中国石油大学(华东),2007.
张彩霞.土地利用规划建库中多源空间数据融合应用研究[D].硕士学位论文,北京:中国农业大学,2007:9-12.
张婉,王磊,谭昌勇.Windows环境下基于Qt的SEGY格式地震数据可视化[J].计算机与数字工程,2008,第36卷第2期:10-12.
周亮.基于ArcEngine的侧扫声呐图像处理系统的设计与实现[D].硕士学位论文,杭州:浙江大学,2008.
周顺平,魏利萍,万波等.多源异构空问数据集成的研究[J].测绘通报,2008,第5期:25-27.
Abel D.J.and M.A.Wilson.A systems approach to integration of raster and vector data and operations[C].Proceedings,4th International,1990,Symposium Spatial Data Handling,Zurich:2:559-566.
Alan Saalfeld.Spatial Data Acquisition and Integration[EB/OL].http://www.ncgia.ucsb.edu/other/ucgis/research-priorities/old3%20%287-O7-97%29/acquisition.html,1996.
A.Hamano,Y.Umetani,H.Tanoue,et al.Application of Marine GIS using Information from Sonar for Coastal Fisheries[C].MTTS/IEEE TECHNO-OCEAN'04,Volume 1,9-12 Nov.,2004:428-432.
A.Caiti,P.Jonsson,LGelaziene,et al.A Geographical Information System for Risk Assessment of Toxic Seabed Dumpsites[C],Oceans - Europe 2005:948-951.
Andrzej Chybicki,Marcin Kulawiak and Zbigniew ubniewski.GIS for remote sensing,analysis and visualisation of marine pollution and other marine ecosystem components[C],Proceedings of the 2008 1st International Conference on Information Technology,IT 2008,19-21 May 2008,Gdansk,Poland.
Baker J.R.and J.E.Drummond.Environmental Monitoring and Map Revision Using Integrated Landsat and Digital Cartographic Data[J].ITC Journal,1984,Vol.14,No.1:10-19.
B.Csatho and Toni Schenk.Multisensor data fusion for automatic scene interpretation[J].International Archives of Photogrammetry and Remote Sensing,1998,vol.32,part 7:336-341.
Brian Andrews.Techniques for spatial analysis and visualization of benthic mapping data[R], Science Applications International Corporation, April 2003, SAIC Report No. 623.
B. Lafferty, R. Quinn and C. Breen. A side-scan sonar and high-resolution Chirp sub-bottom profile study of the natural and anthropogenic sedimentary record of Lower Lough Erne, northwestern Ireland[J]. Journal of Archaeological Science, 2006, 33: 756-766.
Chavez P.S. Jr.. Digital merging of Landsat TM and digitized NHAP data for 1:24,000-scale image mapping[J]. Photogrammetric Engineering & Remote Sensing,
1986,52/10:1637-1646.
Congalton R. G. A review of assessing the accuracy of classifications of remotely sensed data[J]. Remote Sensing of Environment, 1991, 37:35-46.
Chang-Jo F. Chung and Andrea G Fabbri. The Representation of Geoscience Information for Data Integration[J]. Natural Resources Research, Volume 2, Number 2,Juen, 1993:122-139.
C. Pohl and J. L. van Genderen. Multisensor image fusion in remote sensing: concepts, methods and applications[J]. International Journal of Remote Sensing, 1998, vol. 19, No.5:823-854.
Chesapeake Technology, Inc. SonarWiz.Map User's Guide,Revision116[M]. Chesapeake Technology, Inc, 2004.
Curtis William McCall. A geological and geophysical study of the 1929 Grand Banks slide[D].A Thesis for the Degree of Master, Saint Mary's University, Halifax, 2006.
Christian J. Noll, Timothy M. Dellapenna, Andrea Gilkinson, et al. A high-resolution geophysical investigation of sediment distribution controlled by catchment size and tides in a multi-basin turbid outwash fjord-Simpson Bay, Prince William Sound, Alaska[J], Geo-Mar Lett, 2009, 29:1-16.
DAVID M. MCKEOWN and JR.. The Role of Artificial Intelligence in the Integration of Remotely Sensed Data with Geographic Information Systems[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING MAY 1987 VOL. GE-25, NO. 3:330-348.
D. L. Hall and J. Llinas. An introduction to multisensor data fusion[J]. (invited paper) in Proceedings of the IEEE,, 1997, vol. 85, No. 1:6-23.
Daniel G. Brown, Rick Riolo, Derek T. Robinson et al. Spatial process and data models:Toward integration of agent-based models and GIS[J]. Journal of Geographical Systems, 2005,7:25-47.
Djerriri khelifa, Malki Mimoun. Ontology Based Semantic Integration of Heterogeneous Geographical Information Systems[J]. Information and Communication Technologies: From Theory to Applications, 2008. ICTTA 2008. 3rd International Conference ,7-11 April 2008:1-7.
Egenhofer, M. and Herring, J.. High level spatial data structures for GIS[J]. Geographical Information Systems: Principles and Application, 1991, Volume 1:227-237.
Ehlers, M., Edwards, G and Bedard, Y.. Integration of remote sensing with geographic information systems: A necessary evolution[J]. Photogrammetric Engineering and Remote Sensing, 1989, 55/11:1619-1628.
Ehlers M., Greenlee D., Smith, T., et al. Integration of remote sensing and GIS:Data and data access[J]. Photogrammetric Engineering and Remote Sensing, 1991, 57/6:669-676.
ESRI, Inc. Modeling Our World[M].USA:1999.
E. Lynn Usery. Automated Data Integration in Support of The National Map[R]. USGS, 2002a.
E. Lynn Usery . GEOSPATIAL DATA FUSION[EB/OL]. http://www.ucgis.Org/priorities/research/2002researchPDF/shortterm/k_data_fusion.p df, 2002b.
Franklin E. White, Jr., A model for data fusion[C]. 1st National Symposium on Sensor Fusion, vol. 2, 1988.
Flowerdew R.. Spatial Data Integration[J]. Geographical Information Systems: Principles and Application, 1991, Volume 1:375-387.
Florence L. Wong, Stephen L. Eittreim, Carolyn H. Degnan, et al. USGS Seafloor GIS for Monterey Sanctuary-Selected Data Type[C]. ESRI International Users Conference, San Diego, California, 1999: ESRI99-P659.
FGDC, Framework: Introduction and Guide[M], Washington: Federal Geographic Data Committee, 1997:105.
Gruber T R. A Translation Approach to Portable Ontology Specifications. Knowledge Acquisition, 1993,5 :199-220.
GETF. EARTHMAP: Design Study and Implementation Plan[M]. Annandale: Global Environment & Technology Foundation, 1996:57.
Goodchild M F. Conflation: Combining GIS Sources [EB / OL]. http://www.ncgia.ucsb.edu/research/ucgis/proposal.html, 1996.
Gary Cholwek, John Bonde, Xing Li, et al. Processing RoxAnn sonar data to improve its categorization of lake bed surficial substrates[J]. Marine Geophysical Researches, 2000,21:409-421.
Geoff Shipton. extended Triton Format (XTF)[M]. Triton Imaging, Inc. Rev. 18, 2006.
H. Li, B. S. Manjunath and S. K. Mitra. Multisensor image fusion using the wavelet transform[J]. Computer Vision, Graphics, and Image Processing: Graphical Models and Image Processing, 1993, vol. 57:235-245.
Harold A. Foley III. A Multiple Criteria Based Approach to Performing Conflation in GISs[D]. American:Tulane University, 1997.
Harry T. Uitermark, Peter J. M. van Oosterom, Nicolaas J. I. Mars et al. Ontology-Based Geographic Data Set Integration[J]. STDBM'99, LNCS 1678, 1999:60-78.
HOU Enke, WU Lixin. Several Aspect Research Situation and Developing Trend of 3D Geoseience Modelling[J]. Coal Geology & Exploration, 2000, 28(6):5-7.
Holger Gartner, Andreas Bergmann and Jochen Schmidt. Object-oriented modeling ofdata sources as a tool for the integration ofheterogeneous geoscientific information[J]. Computers & Geosciences 27, 2001:975-985.
H. Varma a, K. Fadaie b, M. Habbane et al.. Confusion in data fusion[J]. Journal of Remote Sensing, 2003, Vol. 24, No. 4:627-636.
Hossein Mohammadi, Andrew Binns, Abbas Rajabifard et al. Spatial Data Integration[EB/OL]. http://www.sli.unimelb.edu.au/research/SDI_research/publications/files/Spatial%20Data%20Integration.pdf,2006.
Isabel F. Cruz and Afsheen Rajendran. Semantic Data Integration in Hierarchical Domains[J]. IEEE INTELLIGENT SYSTEMS, MARCH, 2003:66-73.
Ivanov A Y, Zatyagalova V V. A GIS approach to mapping oil spills in the marine environment[C]. European Space Agency, Noordwijk, 2200 AG Netherlands, 2007, 6:6297-6313.
ISO. OWS1 Web Services Architecture[EB/OL]. http://www.isotc211 .org/protdoc/211n1290, 2002.
ISO/TC211. ISO/TC 211 Geographic information/Geomatics[EB/OL]. Http://www.isotc211.org/outreach/Overview/Ovierview.htm, 2006.
ISO/TC211.ISO/TC 211 Projects[EB/OL]. http://www.isotc211.org/, 2009.
J. Brown and J. Baran. Automated gis conflation: Coverage update problems and solutions[C]. Proceedings of the 1995 GIS for Transportation Symposium, 1995.
John Jensen, Alan Saalfeld, Fred Broome, et al. SPATIAL DATA ACQUISITION AND INTEGRATION[EB/OL]. http://www.ucgis.org/priorities/research/researchwhite/1998%20Papers/data.html, 1998.
J.M. Preston, D.R. Parrott, and W.T Collins, Sediment Classification Based on Repetitive Multibeam Bathymetry Surveys of an Offshore Disposal Site[C], Proc.IEEE Oceans '03 Conf., 2003a:69-75.
J.M. Preston and A.C. Christney. Compensation of sonar image data primarily for seabed classification[P]. US Patent Application Publication, 2003/0206489, 2003b.
J.M. Preston, A.C. Christney, W.T. Collins, et al. Automated Acoustic Classification of Sidescan Images, OCEANS '04. MTTS/IEEE TECHNO-OCEAN '04, Vol. 4, 2004:2060-2065.
JIANG Xiaojun, LIU Nan, LIU Renyi, et al. Study and Implementation of the Methods of the Side-scan Sonar Image Processing[C].2008 International Conference on Computer Science and Software Engineering, Wuhan, China, 2008:109-112.
LYNCH, M. P. and SAALFELD, A.. Conflation: Automated map compilation-a video game approach[J]. Proceedings ofAUTOCARTO 7 held in Washington, D.C., in March 1985.
Lincoln F. Pratson and Margo H. Edwards. Introduction to Advances in Seafloor Mapping Using Sidescan Sonar and Multibeam Bathymetry Data[J]. Marine Geophysical Researches, 1996,18:601-505.
M. Mangolini, Apport de la fusion d'images satellitaires multicapteurs au niveau pixel en teledetection et photo-interpretation. These de Doctorat, Universite Nice - Sophia Antipolis, France, 1994:174.
MARIA A. COBB, MIYI J. CHUNG, HAROLD FOLEY III et al.. A Rule-based Approach for the Conflation of Attributed Vector Data[J]. GeoInformatica 2, 1998:7-35.
Mohamed Abdelrahim. Remote Sensing and GIS Integration: Towards Intelligent Imagery within a Special Data Infrastructure[D]. The University of New Brunswick, June 2001, Canada.
Michael P. Finn a, E. Lynn Usery a, Michael Starbuck, et al. Integration of National Map[C]. XXth ISPRS Congress. Istanbul, Turkey, 2004.
Neches R, Fikes R E, Gruber T R, et al.Enabling Technology for Knowledge Sharing[J]. AI Magazine, 1991,Volume 12, Issues 3:36-56.
N. M. MATTIKALLI, B. J. DEVEREUX, and K. S. RICHARDS. INTEGRATION OF REMOTELY SENSED SATELLITE images with a GIS[J]. Computers & Geosciences, 1995, Vol.21, No.8:947-956.
Nicholas W. Locantore, Liem T. Tran, Robert V. O'Neill, et al. An Overview of Data Integration Methods for Regional Assessment[J]. Environmental Monitoring and Assessment, 2004, 94:249-261.
Ning Ma, Weng Tat Chan and Durairaju Kumaran Raju, GIS for manmade object contacts from sidescan sonar images[J], OCEANS 2006 - Asia Pacific 16-19 May 2007:1-5.
Nikki. ECOMAR Cruise Ship-to-Shore diary[EB/OL]. http://www.oceanlab.abdn.ac.uk/blog/?m=200707, 2007.
OGC. GO-1 Application Objects[M]. OGC 03-064r10, Open Geospatial Consortium Inc.,2005a.
OGC. Web Feature Service Implementation Specification[M]. OGC 04-094, Open Geospatial Consortium Inc.,2005b.
OGC. Web Map Server Implementation Specification[M]. OGC 06-042, Open Geospatial Consortium Inc.,2006.
OGC. Geography Markup Language (GML) Encoding Standard[M]. OGC 07-036, Open Geospatial Consortium Inc.,2007.
OGC. OpenGIS Standards and Specifications[EB/OL]. http://www.opengeospatial.org/standards, 2009.
Robert Sean Galway. The Integration of Multibeam Sonar Data with Huntec Sub-bottom Profile Data into a Marine GIS[D]. A Thesis for the Degree of Master,University of British Columbia, 1995.
Russell Parrott, John Hughes Clarke, Gordon Fader, et al. Integration of Multibeam Bathymetry and Sidescan Sonar Data For Geological Surveys[J]. Oceans Conference Record (IEEE), 1999, v 3: 1129-1133.
Rajabifard A. and Williamson I.P.. Spatial Data Infrastructures: Concept, SDI Hierarchy and Future directions[C]. GEOMATICS'80 Conference. Tehran, Iran, 2001.
Ralph Kimball, Margy Ross. The Data Warehouse Toolkit[M]. Second Edition, Wiley Computer Publishing,USA,2002:7-14.
Roger Urgeles, Jacques Locat, Homa J. Lee, et al. The Saguenay Fjord, Quebec, Canada integrating marine geotechnical and geophysical data for spatial seismic slope stability and hazard assessment[J]. Marine Geology, 2002,185:319-340.
Rahma Ben-Neticha. Project 3.D: Seafloor Mapping With Sonar[EB/OL]. http://chartmaker.ncd.noaa.gov/HSD/wrecks.html,2007.
Saalfeld, A., Conflation: Automated Map Compilation, International Journal of Geographical Information Science, 1988, 2(3):217-228.
S. Houzelle and G. Giraudon. Contribution to multisensor fusion formalization[J]. Robotics and Autonomous Systems, 1994, vol. 13:69-85.
SIMON W H. 3D Geoscience Modeling: Computer Techniques for Geological Characterization[M].London:Springer·Verlag, 1994.
Steve Stanic, Ralph R. Goodman, Kevin B. Briggs,et al. Shallow-Water Bottom Reverberation Measurements[J]. IEEE JOURNAL OF OCEANIC ENGINEERING, 1998,VOL. 23, NO. 3:203-210.
Studer, R. Benjamins, V.R. Fensel, D. Knowledge Engineering: principles and methods[J]. Data and Knowledge Engineering, March 1998, Volume 25, Issues 1-2:161-197.
Sutton, G.D., Tully, O., Hervas, A., et al. Multibeam Sonar mapping and Scallop Stock Assessment GIS Data Integration in Support of Sustainable Fisheries Management[C],2004.
Suryanarayana A, Amit V S. GIS analysis for the marine environmental data off Karnataka coast[J]. Environment International, 2006, 32(2): 180-190.
Tania M. Leisten. Coastal watershed development, erosion, marine habitat loss and kelp forest decline in Santa Monica Bay, California[R]. California State University Monterey Bay Seafloor Mapping Lab, May 2002.
Triton. Using Triton SB-Interpreter[M]. Triton Imaging, INC, 2006.
T. Medialdea, L. Somoza,R. Leon a,et al. Multibeam backscatter as a tool for sea-floor characterization and identification of oil spills in the Galicia Bank[J]. Marine Geology, 2008, 249:93-107.
U.S. Department of Defence, Data fusion lexicon, Data Fusion Subpanel of the Joint Directors of Laboratories, Technical Panel for C3, 1991.
Usery E. Lynn, Michael P. Finn, and Michael Starbuck.Data Integration of Layers and Features for The National Map.American Congress on Surveying and Mapping Annual Conference, July, 2003. Phoenix, AZ. ACSM.
USGS Wood Hole Science Center.Data Format Library[EB/OL]. http://woodshole.er.usgs.gov/operations/sfmapping/format.htm,2007.
USGS. Surficial and Sub-bottom Systems: Swath Bathymetry and Acoustic Backscatter[EB/OL]. http://walrus.wr.usgs.gov/mapping/swath.html, 2008.
Vogt, P. R. and Tucholke, B. E., Imaging the Ocean Floor:History and State of the Art[R]. The Western North Atlantic Region, in the Collection, The Geology of North America, Geol.Soc. Am., Boulder, 1986:19-44.
Vijayan VVRajan. Marine geology of the East coast of Peninsular Malaysia[D].A Dissertation for the Doctor of Philosophy Degree,University of Mississippi, USA, 1999.
WHITE, M.. The theory ofgeographical data conflation[M].Internal Bureau of the Census draft document, Washington, D.C, 1981.
Welch R. and Ehlers M.. Merging multiresolution SPOT HRV and Landsat TM data[J].Photogrammetric Engineering & Remote Sensing, 1987, 53/3:301-303.
Wald Lucien. Some Terms of Reference in Data Fusion[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, MAY 1999,VOL. 37, NO. 3:1190-1193.
Wen-Miin Tian. Integrated method for the detection and location of underwater pipelines[J]. Applied Acoustics, 2008, 69:387-398.
Yanshen Zhu, Serge Sala-Diakanda, Luis Rabelo, et al. Integration of underwater sonar simulation with GIS[C], 2007 Winter Simulation Conference: 1378-1386.
SEG技术标准委员会.SEGY数据新标准:SEG Y rev 1.0[J].油气地球物理,王侠摘译,2006,第4卷第4期:50-52.
布列霍夫斯基赫,雷桑诺夫.海洋声学基础[M].北京:海洋出版社,1985,1-39.
丛鸿文等.侧扫声呐典型声图集[M].中国人民解放军海军司令部航海保证部,1989.
陈常松,何建邦.基于地理要素的资源与环境数据的组织方法[J].地理学报,1999年7月,第54卷第4期:373-381.
陈常松,张传霞.GIS语义共享的实质及其实现途径[J].测绘科学,2000年第25卷第1期:29-33.
陈锁忠,黄家柱,张金善等.基于GIS的孔隙水文地质层三维空间离散方法[J].水科学进展,2004,第15卷第5期:634-639.
陈建.基于网络虚拟地理环境技术研究初探[D].硕士学位论文,杭州:浙江大学,2005.
陈传彬,邬群勇,陈崇成.基于GML的多源异构空间数据集成框架研究[J].计算机应用与研究,2005,第30卷第5期:53-55.
陈楠.多源空间数据集成的技术难点分析和解决策略[J].计算机应用研究,2005,第10期:206-208.
陈荤.分布式地理空间数据服务集成技术研究[D].博士学位论文,长沙:国防科技大学,2005.
崔铁军,郭黎.多源地理空间矢量数据集成与融合方法探讨[J].测绘科学技术学报,2007,第24卷第1期:1-4.
陈拥锋.基于IDL与C++Builder的三维地质可视化开发[J].工程地球物理学报,2007,第4卷第41期:355-359.
陈俊文.基于X3D的三维地理数据模型设计与实现[D].硕士学位论文,杭州:浙江大学,2008.
邓雪清,巩丹超,罗睿.侧扫声呐图像地理编码技术研究[J].海洋测绘,2002,第22卷第4期:14-17.
范震寰.多波束测深关键技术研究[D].硕士学位论文,南京:南京航空航天大学,2005.
国家质量技术监督局.中华人民共和国国家标准-海道测量规范,GB12327-1998.北京:中国标准出版社,1998年.
高峰.《北京电信地理信息系统》多源数据融合问题的研究[J].《北京电信科技)2000年第2期:26-30.
高金耀,方银霞,徐赛英.原始多波束数据的格式转换与统一[J].海洋通报,2002,第21卷第6期:68-74.
国家技术监督局.GB50021-2001中华人民共和国国家标准-岩土工程勘察规范[S].北京:中国建筑工业出版社,2002.
高俊国,李增林,杜军.侧扫声呐系统成图中的位移、变形和噪音问题[J].海岸工程,2003,第22卷第2期:44-50.
郭黎,崔铁军,吴正升.多源数字地图融合技术问题的研究[J].海洋测绘,20O2年3月,第22卷第2期:22-25.
郭黎.空间矢量数据融合问题的研究[D].硕士学位论文,武汉:武汉大学,2003.
郭黎,崔铁军,王玉海等.多源空间数据融合技术探讨[J].地理信息世界,2007,第一期:62-66.
高锡章.基于大型数据库的海洋GIS设计与自主开发研究[D].博士学位论文,杭州:浙江大学,2004.
高艳婷.数据融合技术在海陆联合地理信息系统中的研究与设计[D].硕士学位论文,哈尔滨:哈尔滨工程大学,2007.
黄裕霞,陈常松,何建邦.GIS的互操作.中国地理信息系统协会.中国海外地理信息系统协会1998年年会论文集,1998:108-113.
何国金,李克鲁,胡德永等.多卫星遥感数据的信息融合:理论、方法与实践[J].中国图象图形学报,1999年9月,第4卷(A版)第9期:744-750.
黄谟涛,翟国君,欧阳永忠等.多波束与单波束测深数据的融合处理技术[J].测绘学报,2001,第30卷第4期:299-303.
黄裕霞,柯正谊,何建邦等.面向GIS语义共享的地理单元及其模型[J].计算机工程 与应用,2002,11:118-122.
黄海峰,包世泰,黎华等.初探IDL在地质三维建模中的应用[J].地质与勘探,2004,第40卷第6期:53-56。
韩玲,吴汉宁.多源遥感影像数据融合的理论与技术[J].西北大学学报(自然科学版),2004年8月,第34卷第4期:457-460.
韩玲.多源遥感信息融合技术及多源信息在地学中的应用研究[D].硕士学位论文,西安:西北大学,2005:15-22.
韩振东,张军,蒋涛.基于Direct3D多分辨率地形建模方法的研究[J].测绘科学,2006,第31卷第6期:143-145.
韩培友.IDL可视化分析与应用[M].西安:西北工业大学出版社,2006.
胡建炯,姜小俊,任少华等.多种物探仪器在海底路由管线检测中的综合应用探讨[C].第三届长三角科技论坛(测绘分论坛)暨2006江苏省测绘学术年会论文集,2006:34-36.
胡圣武,张卷美,王新洲等.空间数据融合的基本框架[J].测绘科学,2007,第32卷第3期:175-177.
黄杰.海洋环境综合数据建模与可视化研究[D].博士学位论文,杭州:浙江大学,2008.
胡圣武,李鲲鹏.三维GIS关键技术的研究[J].地理空间信息,2008,第6卷第3期:9-12.
贾永红,李德仁,孙家柄.多源遥感影像数据融合[J].遥感技术与应用,2000年3月,第15卷第1期:41-44.
季文赟,林亦俊,张叔英.地质声呐记录的图像处理与地层识别技术研究[J].声学学报,2001,第26卷第4期:365-371.
金翔龙.海底科学与发展战略[C].中国海洋学会海底科学分会成立暨海底科学发展战略研讨会,海底科学战略研讨会论文集,杭州,2003.
贾晖.数据集成中间件研究与实现[D].硕士学位论文,西安:西北大学,2005:7-10.
金翔龙.海洋、海洋经济与人类未来[J].海洋学研究,2006年,第24卷,第2期:1-7.
金翔龙.海洋地球物理研究与海底探测声学技术的发展[J].地球物理学进展,2007,第22卷第4期:1243-1249.
姜小俊,张海鹏.一种用于海底路由管线检测的3维管线模型快速建立方法研究[J]. 测绘通报,2007,第11期:17-19.
贾瑞生,姜岩,孙红梅等.基于IDL三维地形建模及可视化技术研究[J].测绘科学,2008,第33卷第6期:113-115.
李启虎.声呐信号处理引论[M].北京:海洋出版社,1985,91-166.
李家彪.多波束勘测原理技术与方法[M].北京:海洋出版社,1999:13-41.
李军,周成虎.地球空间数据集成多尺度问题基础研究[J].地球科学进展,2000,2,第15卷第1期:48-52.
林珲,闾国年,宋志尧.东中国海潮波系统与海岸演变模拟研究[M].北京:科学出版社,2000.
刘保国.虚拟现实建模语言vrml[EB/OL].http://media.ccidnet.com/media/ciw/895/b0101.htm,2000.
李军,费川云.地球空间数据集成研究概括[J].地理科学进展,2000,9,第19卷第3期:203-211.
李军,庄大方.地学数据集成的理论基础与集成体系[J].地理科学进展,2001,6,第20卷第2期:137-145.
李军,滕惠忠.侧扫声呐数据的格式转换及应用[J].海洋测绘,2002a,第22卷第2期:36-38.
李军,周成虎.地球空间数据集成多尺度问题及基础研究[J].地球科学进展,2002b,第15卷第1期:48-52.
林宁.海洋三维地理信息系统数据模型研究[J].海洋信息,2002,第3期:11-14.
刘南,刘仁义.地理信息系统[M].北京:高等教育出版社,2002.
刘经南,赵建虎.多波束测深系统的现状和发展趋势[J].海洋测绘,2002,第22卷第5期:3-6.
罗深荣.侧扫声呐和多波束测深系统在海洋调查中的综合应用[J].海洋测绘,2003,第23卷第1期:22-24.
李军.利用OPENGL构建海洋三维景观的方法研究[J].海洋测绘,2003,第23卷第5期:51-54.
刘卓夫,桑恩方.基于纹理的声呐图像识别[J].计算机工程,2004,第30卷第14期:113-115.
李瑞轩.异构信息集成中的查询处理与优化研究[D].博士学位论文,武汉:华中科 技大学,2004:15-16.
雷伟刚.空间数据线要素综合的不确定性与数据处理[D].博士学位论文,上海:同济大学,2004.
李德仁.论广义空间信息网格和狭义空间信息网格[J].遥感学报,2005,第9卷,第5期:513-519.
卢海霞,杨耀权,苏杰等.基于Java3D实现散乱数据点三角剖分的算法[J].华北电力大学学报,2005,第32卷第6期:33-36.
刘保华,丁继胜,裴彦良.海洋地球物理探测技术及其在近海工程中的应用[J].海洋科学进展,2005,第23卷第3期:374-384.
连剑波.基于XML的地质数据集成及WebGIS发布研究[D].博士学位论文,广州:中科院广州地球化学研究所,2006.
来向华,马建林,潘国富等.多波束测深技术在海底管道检测中的应用[J].海洋工程,2006,第24卷第3期:68-73.
刘树东.GeoSwath条带测深系统精度分析[J].中国港湾建设,2006,第1期:26-29.
陆秀平,黄谟涛,翟国君等.多波束测深数据处理及管理系统设计与开发[J].海洋测绘,2006,第26卷第6期:1-5.
李立新,徐志良.海洋战略是构筑中国海外能源长远安全的优选国策--缓解“马六甲困局”及其他[J].海洋开发与管理,2006年,4期:3-8.
李海涛.海洋环境信息集成方法研究与新一代MAGIS平台软件开发[D].博士学位论文,青岛:中国海洋大学,2007.
卢博,李赶先,黄韶健.用声学三参数判别海底沉积物性质[J].声学技术,2007第26卷第1期:6-14.
刘刚,赵荣,刘纪平等.澜沧江流域降水量空间分布的克里格插值分析[J].测绘科学,2007,第32卷第3期:104-105.
李勇,包世泰,周品等.ECDIS与GIS数据集成研究[J].测绘科学,2007,第32卷第4期:135-137.
李军,吴自银,尚继宏等.多波束UNB数据文件格式的解析及应用[J].海洋学研究,2007,第2 5卷第2期:74-82.
梁珺,郑辉.空间数据融合的多尺度转换[J].中国资源综合利用,2007,第25卷第11期:39-41.
吕蓬,张立朝,王耿峰.空间数据融合在海图中的应用[J].测绘通报,2007,第11期:43-45.
刘强,卢博.南海浅海海底沉积物的声衰减[J].海洋学报,2008,第30卷第4期:48-55.
李连营,许小兰,吴中恒等.多源导航电子地图数据融合更新方法研究[J].武汉大学学报·信息科学版,2008年4月,第33卷第4期:409-412.
刘秋生,崔铁军,翟京生等.基于转换模式的多源数字海图融合研究[J].海洋测绘,2008年3月,第28卷第2期:60-63.
刘伟伟,张军.一种基于VRML的大规模场景中LOD节点的改进方法[J].测绘科学,2008,第33卷增刊:124-126.
马洪超,胡光道.地学数据融合技术综述[J].地质科技情报,1999,第18卷,第1期:97-101.
马劲松.海岸海洋数字界面系统模型与数字海洋研究[DI.博士学位论文,南京:南京大学,2001.
马劲松,朱大奎.海岸海洋潮流模拟可视化与虚拟现实建模[J].测绘学报,2002,31(1):49-53.
马照亭,潘懋,林晨等.多源空间数据的共享与集成模式研究[J].计算机工程与应用,2002.24:31-34.
马胜中,陈炎标,陈太浩.近岸海底管线路由调查与管线的探测[J].南海地质研究,2005年,第1期:101-108.
孟凡荣,闫秋艳.基于GML的异构空间数据融合模型研究与设计[J].计算机应用与研究,2005,25:162-171.
孟祥军.中国国家海洋战略构建研究[D].硕士学位论文,成都:电子科技大学,2006.
孟耀伟,舒国权,王山东.三维地学建模理论研究与实现[J].地理空间信息,2008,第6卷第4期:74-77.
彭煜玮,彭智勇.空间数据融合技术的研究[J].计算机工程,2007,第33卷第18期:51-55.
祁羽.基于Mediator/Wrapper体系的分布式空间数据集成体系研究[D].硕士学位论文,长沙:国防科技大学,2005.
宋关福,钟耳顺,刘纪远等.多源空间数据无缝集成研究[J].地理科学进展,2000,第19卷第2胡:110-115.
孙雁.Internet环境下多源地理数据集成研究[D].硕士学位论文,武汉:武汉大学,2004.
盛业华,刘平,袁林旺等.地学现象三维空间模拟一以点源烟气扩散为例[J].地球信息科学,2005,第7卷第3期:16-26.
苏天赟.海底多维综合数据建模及可视化技术研究[D].博士学位论文,青岛:中国海洋大学,2006.
施加松.网络三维GIS若干技术问题研究[D].硕士学位论文,郑州:中国人民解放军信息工程大学,2006.
沙宗尧.空间数据仓库体系结构框架的概念模型[J].地理空间信息,2008,第6卷第1期:18-21.
滕惠忠.海底地貌声呐图像处理方法的研究[D]郑州:解放军测绘学院,1998:40-50.
唐秋华,刘忠臣,周兴华.多波束海底底质分类软件Simrad Triton的应用[J],2002,第22卷第4嘲:21-24.
滕惠忠,邓雪清,郭思海.侧扫声呐数据库管理设计[J].海洋测绘,2003,第23卷第1期:27-30.
滕惠忠,严晓明,李胜全等.侧扫声呐图像增强技术[J].海洋测绘,2004,第24卷第2期:47-49.
唐秋华,陈义兰,周兴华等.多波束海底声像图的形成及应用研究[J],海洋测绘,2004第24卷第5期:9-12.
陶春辉,金翔龙,许枫等.海底声学底质分类技术的研究现状与前景[J].东海海洋,2004,第22卷第3期:28-33.
田友强.基于J2EE和XML的海洋数据集成系统原型设计与实现[D].硕士学位论文,青岛:中国海洋大学,2005.
唐桂芬,廖巍,陈荤等.面向地理数据服务的空间数据集成关键技术研究[J].计算机科学,2007,Vol.34,No.9:99-102.
王闰成.侧扫声呐图像变形现象与实例分析[J],海洋测绘,2002,第22卷,第5期:42-45.
吴英姿,徐新盛,乔力争.多波束测深系统的精度评估方法研究[J].海洋技术,2003,第22卷第3期:65-69.
吴信才,史文中.地理信息系统原理与算法[M].北京:科学出版社,2003.
吴少琴.多波束条带测深仪拼接图技术的研究[D].硕士论文.哈尔滨:哈尔滨工程大学,2003.
汪璟玢.空间数据仓库的数据集成研究[D].硕士学位论文,福州:福州大学,2003.
王广军,武文波.多源遥感数据融合方法探讨[J].辽宁工程技术大学学报,2004年6月,第23卷第3期:299-301.
王靓,朱科军,赵京伟等.几种三维图像软件的性能差异与分析研究[J].核电子学与探测技术,2006,第26卷第6期:813-816.
韦家宏.栅格、矢量结构在空间数据融合中的技术及应用初探[EB/OL].http://www.gissky.net/Soft/paper/2006-07-11/23.html,2006.
吴孟泉,宋晓东,崔伟宏.基于本体的异构空问数据的集成研究[J].武汉大学学报·信息科学版,2007年10月,第32卷第10期:915-918.
邬群勇,王钦敏,张爱国.面向网络的空间数据多级集成和服务模式[J].华侨大学学报(自然科学版),2008,1,第29卷第1期:102-105.
王崇明,王泽民,李建虎.UNB多波束数据格式解析[J].测绘信息与工程,2008,33(3):13-14.
许枫,丛鸿文.侧扫声呐图像判别[J],海洋测绘,2001,第一期:58-61.
夏登文.数字海洋基础数据及业务流程建模方法及相关技术研究[D].博士学位论文,沈阳:东北大学,2006.
许枫,魏建江.第七讲侧扫声呐[J].物理,2006,35卷12期:1034-1037.
阳凡林.多波束和侧扫声呐数据融合及其在海底底质分类中的应用[D].博士学位论文,武汉:武汉大学,2003.
阳凡林,刘经南,赵建虎.基于数据融合的侧扫声呐图像预处理[J].武汉大学学报·信息科学版,2004,29(5):402-406.
杨词银,许枫.基于分形维的底质分类[J].海洋测绘,2004,第24卷第6期:5-8.
袁洋,李善平.基于web语义的本体映射方法综述[J].计算机科学,2004,第31卷,第5期:5-8.
尹潘,胡光道.基于GDW的空间数据融合[J].吉林大学学报(地球科学版),2006,第 36卷第3期:486-490。
叶海智,桂伟峰.基于VRML的虚拟场景的优化研究[J].河南师范大学学报(自然科学版),2007,第35卷第4期:177-179.
尤仙爱.基于本体的数据集成研究[D].硕士学位论文,武汉:中南大学,2007.
张叔英.地声学:一门研究海底的重要学科[J].1997,物理:280-285.
中华人民共和国交通部.JTJ240-97中华人民共和国行业标注-港口工程地质勘察规范》[S].北京:人民交通出版社,1999.
张桥平,李德仁,龚建雅.地图合并技术[J].测绘通报,2001年,第7期:6-8.
张桥平.地图数据库实体匹配与合并技术研究[D].博士学位论文,武汉:武汉大学,2002.
赵宇,刘冀伟,王志良.油田勘探决策支持系统的SegY文件处理研究[J].石油工业计算机应用,2 003,第11卷第4期:9-11.
张凯选.基于地质灾害的异源空间数据集成方法研究[D].硕士学位论文,阜新:辽宁工程技术大学,2004.
张政民.数字海底系统多源异构数据融合及网络发布技术研究[D].硕士学位论文,青岛:中国海洋大学,2004.
曾旭平,阳凡林,李陶等.基于SOFM网络的声图非监督分类[J].武汉大学学报·信息科学版,2004,第29卷第11期:977-980.
朱瑞芳,宋伟东,于欢.多源空间数据的融合技术[J].辽宁工程技术大学学报,2005,第24卷增刊:60-62
张小超,王精业,梁强.基于Direct3D的虚拟战场环境中动态地形的实现方法[J].系统仿真学报,2005,第17卷第5期:1145-1148.
仲淑姮.矿山GIS空间数据的集成[J].东北大学学报(自然科学版),2005,8,第25卷增刊2:115-117.
郑茂辉,冯学智,蒋莹滢等.面向GIS多重表达的本体语义模型[J].遥感信息,2006,第5期:12-16.
周娜娜.基于联邦数据库的信息集成[D].硕士学位论文,重庆:重庆大学,2006:8-9.
张绪冰,关泽群,张铁良.基于Java3D虚拟场景的关键技术[J].安徽农业科学,2007,第35卷34期:11328-11330.
赵利民.基于GIS层状地质体三维可视化研究[D].硕士学位论文,东营:中国石油大学(华东),2007.
张彩霞.土地利用规划建库中多源空间数据融合应用研究[D].硕士学位论文,北京:中国农业大学,2007:9-12.
张婉,王磊,谭昌勇.Windows环境下基于Qt的SEGY格式地震数据可视化[J].计算机与数字工程,2008,第36卷第2期:10-12.
周亮.基于ArcEngine的侧扫声呐图像处理系统的设计与实现[D].硕士学位论文,杭州:浙江大学,2008.
周顺平,魏利萍,万波等.多源异构空问数据集成的研究[J].测绘通报,2008,第5期:25-27.
Abel D.J.and M.A.Wilson.A systems approach to integration of raster and vector data and operations[C].Proceedings,4th International,1990,Symposium Spatial Data Handling,Zurich:2:559-566.
Alan Saalfeld.Spatial Data Acquisition and Integration[EB/OL].http://www.ncgia.ucsb.edu/other/ucgis/research-priorities/old3%20%287-O7-97%29/acquisition.html,1996.
A.Hamano,Y.Umetani,H.Tanoue,et al.Application of Marine GIS using Information from Sonar for Coastal Fisheries[C].MTTS/IEEE TECHNO-OCEAN'04,Volume 1,9-12 Nov.,2004:428-432.
A.Caiti,P.Jonsson,LGelaziene,et al.A Geographical Information System for Risk Assessment of Toxic Seabed Dumpsites[C],Oceans - Europe 2005:948-951.
Andrzej Chybicki,Marcin Kulawiak and Zbigniew ubniewski.GIS for remote sensing,analysis and visualisation of marine pollution and other marine ecosystem components[C],Proceedings of the 2008 1st International Conference on Information Technology,IT 2008,19-21 May 2008,Gdansk,Poland.
Baker J.R.and J.E.Drummond.Environmental Monitoring and Map Revision Using Integrated Landsat and Digital Cartographic Data[J].ITC Journal,1984,Vol.14,No.1:10-19.
B.Csatho and Toni Schenk.Multisensor data fusion for automatic scene interpretation[J].International Archives of Photogrammetry and Remote Sensing,1998,vol.32,part 7:336-341.
Brian Andrews.Techniques for spatial analysis and visualization of benthic mapping data[R], Science Applications International Corporation, April 2003, SAIC Report No. 623.
B. Lafferty, R. Quinn and C. Breen. A side-scan sonar and high-resolution Chirp sub-bottom profile study of the natural and anthropogenic sedimentary record of Lower Lough Erne, northwestern Ireland[J]. Journal of Archaeological Science, 2006, 33: 756-766.
Chavez P.S. Jr.. Digital merging of Landsat TM and digitized NHAP data for 1:24,000-scale image mapping[J]. Photogrammetric Engineering & Remote Sensing,
1986,52/10:1637-1646.
Congalton R. G. A review of assessing the accuracy of classifications of remotely sensed data[J]. Remote Sensing of Environment, 1991, 37:35-46.
Chang-Jo F. Chung and Andrea G Fabbri. The Representation of Geoscience Information for Data Integration[J]. Natural Resources Research, Volume 2, Number 2,Juen, 1993:122-139.
C. Pohl and J. L. van Genderen. Multisensor image fusion in remote sensing: concepts, methods and applications[J]. International Journal of Remote Sensing, 1998, vol. 19, No.5:823-854.
Chesapeake Technology, Inc. SonarWiz.Map User's Guide,Revision116[M]. Chesapeake Technology, Inc, 2004.
Curtis William McCall. A geological and geophysical study of the 1929 Grand Banks slide[D].A Thesis for the Degree of Master, Saint Mary's University, Halifax, 2006.
Christian J. Noll, Timothy M. Dellapenna, Andrea Gilkinson, et al. A high-resolution geophysical investigation of sediment distribution controlled by catchment size and tides in a multi-basin turbid outwash fjord-Simpson Bay, Prince William Sound, Alaska[J], Geo-Mar Lett, 2009, 29:1-16.
DAVID M. MCKEOWN and JR.. The Role of Artificial Intelligence in the Integration of Remotely Sensed Data with Geographic Information Systems[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING MAY 1987 VOL. GE-25, NO. 3:330-348.
D. L. Hall and J. Llinas. An introduction to multisensor data fusion[J]. (invited paper) in Proceedings of the IEEE,, 1997, vol. 85, No. 1:6-23.
Daniel G. Brown, Rick Riolo, Derek T. Robinson et al. Spatial process and data models:Toward integration of agent-based models and GIS[J]. Journal of Geographical Systems, 2005,7:25-47.
Djerriri khelifa, Malki Mimoun. Ontology Based Semantic Integration of Heterogeneous Geographical Information Systems[J]. Information and Communication Technologies: From Theory to Applications, 2008. ICTTA 2008. 3rd International Conference ,7-11 April 2008:1-7.
Egenhofer, M. and Herring, J.. High level spatial data structures for GIS[J]. Geographical Information Systems: Principles and Application, 1991, Volume 1:227-237.
Ehlers, M., Edwards, G and Bedard, Y.. Integration of remote sensing with geographic information systems: A necessary evolution[J]. Photogrammetric Engineering and Remote Sensing, 1989, 55/11:1619-1628.
Ehlers M., Greenlee D., Smith, T., et al. Integration of remote sensing and GIS:Data and data access[J]. Photogrammetric Engineering and Remote Sensing, 1991, 57/6:669-676.
ESRI, Inc. Modeling Our World[M].USA:1999.
E. Lynn Usery. Automated Data Integration in Support of The National Map[R]. USGS, 2002a.
E. Lynn Usery . GEOSPATIAL DATA FUSION[EB/OL]. http://www.ucgis.Org/priorities/research/2002researchPDF/shortterm/k_data_fusion.p df, 2002b.
Franklin E. White, Jr., A model for data fusion[C]. 1st National Symposium on Sensor Fusion, vol. 2, 1988.
Flowerdew R.. Spatial Data Integration[J]. Geographical Information Systems: Principles and Application, 1991, Volume 1:375-387.
Florence L. Wong, Stephen L. Eittreim, Carolyn H. Degnan, et al. USGS Seafloor GIS for Monterey Sanctuary-Selected Data Type[C]. ESRI International Users Conference, San Diego, California, 1999: ESRI99-P659.
FGDC, Framework: Introduction and Guide[M], Washington: Federal Geographic Data Committee, 1997:105.
Gruber T R. A Translation Approach to Portable Ontology Specifications. Knowledge Acquisition, 1993,5 :199-220.
GETF. EARTHMAP: Design Study and Implementation Plan[M]. Annandale: Global Environment & Technology Foundation, 1996:57.
Goodchild M F. Conflation: Combining GIS Sources [EB / OL]. http://www.ncgia.ucsb.edu/research/ucgis/proposal.html, 1996.
Gary Cholwek, John Bonde, Xing Li, et al. Processing RoxAnn sonar data to improve its categorization of lake bed surficial substrates[J]. Marine Geophysical Researches, 2000,21:409-421.
Geoff Shipton. extended Triton Format (XTF)[M]. Triton Imaging, Inc. Rev. 18, 2006.
H. Li, B. S. Manjunath and S. K. Mitra. Multisensor image fusion using the wavelet transform[J]. Computer Vision, Graphics, and Image Processing: Graphical Models and Image Processing, 1993, vol. 57:235-245.
Harold A. Foley III. A Multiple Criteria Based Approach to Performing Conflation in GISs[D]. American:Tulane University, 1997.
Harry T. Uitermark, Peter J. M. van Oosterom, Nicolaas J. I. Mars et al. Ontology-Based Geographic Data Set Integration[J]. STDBM'99, LNCS 1678, 1999:60-78.
HOU Enke, WU Lixin. Several Aspect Research Situation and Developing Trend of 3D Geoseience Modelling[J]. Coal Geology & Exploration, 2000, 28(6):5-7.
Holger Gartner, Andreas Bergmann and Jochen Schmidt. Object-oriented modeling ofdata sources as a tool for the integration ofheterogeneous geoscientific information[J]. Computers & Geosciences 27, 2001:975-985.
H. Varma a, K. Fadaie b, M. Habbane et al.. Confusion in data fusion[J]. Journal of Remote Sensing, 2003, Vol. 24, No. 4:627-636.
Hossein Mohammadi, Andrew Binns, Abbas Rajabifard et al. Spatial Data Integration[EB/OL]. http://www.sli.unimelb.edu.au/research/SDI_research/publications/files/Spatial%20Data%20Integration.pdf,2006.
Isabel F. Cruz and Afsheen Rajendran. Semantic Data Integration in Hierarchical Domains[J]. IEEE INTELLIGENT SYSTEMS, MARCH, 2003:66-73.
Ivanov A Y, Zatyagalova V V. A GIS approach to mapping oil spills in the marine environment[C]. European Space Agency, Noordwijk, 2200 AG Netherlands, 2007, 6:6297-6313.
ISO. OWS1 Web Services Architecture[EB/OL]. http://www.isotc211 .org/protdoc/211n1290, 2002.
ISO/TC211. ISO/TC 211 Geographic information/Geomatics[EB/OL]. Http://www.isotc211.org/outreach/Overview/Ovierview.htm, 2006.
ISO/TC211.ISO/TC 211 Projects[EB/OL]. http://www.isotc211.org/, 2009.
J. Brown and J. Baran. Automated gis conflation: Coverage update problems and solutions[C]. Proceedings of the 1995 GIS for Transportation Symposium, 1995.
John Jensen, Alan Saalfeld, Fred Broome, et al. SPATIAL DATA ACQUISITION AND INTEGRATION[EB/OL]. http://www.ucgis.org/priorities/research/researchwhite/1998%20Papers/data.html, 1998.
J.M. Preston, D.R. Parrott, and W.T Collins, Sediment Classification Based on Repetitive Multibeam Bathymetry Surveys of an Offshore Disposal Site[C], Proc.IEEE Oceans '03 Conf., 2003a:69-75.
J.M. Preston and A.C. Christney. Compensation of sonar image data primarily for seabed classification[P]. US Patent Application Publication, 2003/0206489, 2003b.
J.M. Preston, A.C. Christney, W.T. Collins, et al. Automated Acoustic Classification of Sidescan Images, OCEANS '04. MTTS/IEEE TECHNO-OCEAN '04, Vol. 4, 2004:2060-2065.
JIANG Xiaojun, LIU Nan, LIU Renyi, et al. Study and Implementation of the Methods of the Side-scan Sonar Image Processing[C].2008 International Conference on Computer Science and Software Engineering, Wuhan, China, 2008:109-112.
LYNCH, M. P. and SAALFELD, A.. Conflation: Automated map compilation-a video game approach[J]. Proceedings ofAUTOCARTO 7 held in Washington, D.C., in March 1985.
Lincoln F. Pratson and Margo H. Edwards. Introduction to Advances in Seafloor Mapping Using Sidescan Sonar and Multibeam Bathymetry Data[J]. Marine Geophysical Researches, 1996,18:601-505.
M. Mangolini, Apport de la fusion d'images satellitaires multicapteurs au niveau pixel en teledetection et photo-interpretation. These de Doctorat, Universite Nice - Sophia Antipolis, France, 1994:174.
MARIA A. COBB, MIYI J. CHUNG, HAROLD FOLEY III et al.. A Rule-based Approach for the Conflation of Attributed Vector Data[J]. GeoInformatica 2, 1998:7-35.
Mohamed Abdelrahim. Remote Sensing and GIS Integration: Towards Intelligent Imagery within a Special Data Infrastructure[D]. The University of New Brunswick, June 2001, Canada.
Michael P. Finn a, E. Lynn Usery a, Michael Starbuck, et al. Integration of National Map[C]. XXth ISPRS Congress. Istanbul, Turkey, 2004.
Neches R, Fikes R E, Gruber T R, et al.Enabling Technology for Knowledge Sharing[J]. AI Magazine, 1991,Volume 12, Issues 3:36-56.
N. M. MATTIKALLI, B. J. DEVEREUX, and K. S. RICHARDS. INTEGRATION OF REMOTELY SENSED SATELLITE images with a GIS[J]. Computers & Geosciences, 1995, Vol.21, No.8:947-956.
Nicholas W. Locantore, Liem T. Tran, Robert V. O'Neill, et al. An Overview of Data Integration Methods for Regional Assessment[J]. Environmental Monitoring and Assessment, 2004, 94:249-261.
Ning Ma, Weng Tat Chan and Durairaju Kumaran Raju, GIS for manmade object contacts from sidescan sonar images[J], OCEANS 2006 - Asia Pacific 16-19 May 2007:1-5.
Nikki. ECOMAR Cruise Ship-to-Shore diary[EB/OL]. http://www.oceanlab.abdn.ac.uk/blog/?m=200707, 2007.
OGC. GO-1 Application Objects[M]. OGC 03-064r10, Open Geospatial Consortium Inc.,2005a.
OGC. Web Feature Service Implementation Specification[M]. OGC 04-094, Open Geospatial Consortium Inc.,2005b.
OGC. Web Map Server Implementation Specification[M]. OGC 06-042, Open Geospatial Consortium Inc.,2006.
OGC. Geography Markup Language (GML) Encoding Standard[M]. OGC 07-036, Open Geospatial Consortium Inc.,2007.
OGC. OpenGIS Standards and Specifications[EB/OL]. http://www.opengeospatial.org/standards, 2009.
Robert Sean Galway. The Integration of Multibeam Sonar Data with Huntec Sub-bottom Profile Data into a Marine GIS[D]. A Thesis for the Degree of Master,University of British Columbia, 1995.
Russell Parrott, John Hughes Clarke, Gordon Fader, et al. Integration of Multibeam Bathymetry and Sidescan Sonar Data For Geological Surveys[J]. Oceans Conference Record (IEEE), 1999, v 3: 1129-1133.
Rajabifard A. and Williamson I.P.. Spatial Data Infrastructures: Concept, SDI Hierarchy and Future directions[C]. GEOMATICS'80 Conference. Tehran, Iran, 2001.
Ralph Kimball, Margy Ross. The Data Warehouse Toolkit[M]. Second Edition, Wiley Computer Publishing,USA,2002:7-14.
Roger Urgeles, Jacques Locat, Homa J. Lee, et al. The Saguenay Fjord, Quebec, Canada integrating marine geotechnical and geophysical data for spatial seismic slope stability and hazard assessment[J]. Marine Geology, 2002,185:319-340.
Rahma Ben-Neticha. Project 3.D: Seafloor Mapping With Sonar[EB/OL]. http://chartmaker.ncd.noaa.gov/HSD/wrecks.html,2007.
Saalfeld, A., Conflation: Automated Map Compilation, International Journal of Geographical Information Science, 1988, 2(3):217-228.
S. Houzelle and G. Giraudon. Contribution to multisensor fusion formalization[J]. Robotics and Autonomous Systems, 1994, vol. 13:69-85.
SIMON W H. 3D Geoscience Modeling: Computer Techniques for Geological Characterization[M].London:Springer·Verlag, 1994.
Steve Stanic, Ralph R. Goodman, Kevin B. Briggs,et al. Shallow-Water Bottom Reverberation Measurements[J]. IEEE JOURNAL OF OCEANIC ENGINEERING, 1998,VOL. 23, NO. 3:203-210.
Studer, R. Benjamins, V.R. Fensel, D. Knowledge Engineering: principles and methods[J]. Data and Knowledge Engineering, March 1998, Volume 25, Issues 1-2:161-197.
Sutton, G.D., Tully, O., Hervas, A., et al. Multibeam Sonar mapping and Scallop Stock Assessment GIS Data Integration in Support of Sustainable Fisheries Management[C],2004.
Suryanarayana A, Amit V S. GIS analysis for the marine environmental data off Karnataka coast[J]. Environment International, 2006, 32(2): 180-190.
Tania M. Leisten. Coastal watershed development, erosion, marine habitat loss and kelp forest decline in Santa Monica Bay, California[R]. California State University Monterey Bay Seafloor Mapping Lab, May 2002.
Triton. Using Triton SB-Interpreter[M]. Triton Imaging, INC, 2006.
T. Medialdea, L. Somoza,R. Leon a,et al. Multibeam backscatter as a tool for sea-floor characterization and identification of oil spills in the Galicia Bank[J]. Marine Geology, 2008, 249:93-107.
U.S. Department of Defence, Data fusion lexicon, Data Fusion Subpanel of the Joint Directors of Laboratories, Technical Panel for C3, 1991.
Usery E. Lynn, Michael P. Finn, and Michael Starbuck.Data Integration of Layers and Features for The National Map.American Congress on Surveying and Mapping Annual Conference, July, 2003. Phoenix, AZ. ACSM.
USGS Wood Hole Science Center.Data Format Library[EB/OL]. http://woodshole.er.usgs.gov/operations/sfmapping/format.htm,2007.
USGS. Surficial and Sub-bottom Systems: Swath Bathymetry and Acoustic Backscatter[EB/OL]. http://walrus.wr.usgs.gov/mapping/swath.html, 2008.
Vogt, P. R. and Tucholke, B. E., Imaging the Ocean Floor:History and State of the Art[R]. The Western North Atlantic Region, in the Collection, The Geology of North America, Geol.Soc. Am., Boulder, 1986:19-44.
Vijayan VVRajan. Marine geology of the East coast of Peninsular Malaysia[D].A Dissertation for the Doctor of Philosophy Degree,University of Mississippi, USA, 1999.
WHITE, M.. The theory ofgeographical data conflation[M].Internal Bureau of the Census draft document, Washington, D.C, 1981.
Welch R. and Ehlers M.. Merging multiresolution SPOT HRV and Landsat TM data[J].Photogrammetric Engineering & Remote Sensing, 1987, 53/3:301-303.
Wald Lucien. Some Terms of Reference in Data Fusion[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, MAY 1999,VOL. 37, NO. 3:1190-1193.
Wen-Miin Tian. Integrated method for the detection and location of underwater pipelines[J]. Applied Acoustics, 2008, 69:387-398.
Yanshen Zhu, Serge Sala-Diakanda, Luis Rabelo, et al. Integration of underwater sonar simulation with GIS[C], 2007 Winter Simulation Conference: 1378-1386.