多源遥感影像融合技术在地质灾害调查中的应用
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摘要
我国是地质灾害频发的国家,灾害造成了大量人员伤亡和经济损失,"5.12"地震更是诱发了滑坡、崩塌、泥石流以及堰塞湖等地质灾害,给人民生命财产造成重大损失。实践表明,运用遥感技术可以进行大范围的地质灾害调查与监测,使应急速度得到显著提高,但目前传感器种类较多,如何在海量的数据中发现规律、进行数据的协同处理,弥补信息提取能力的不足,是亟待解决的问题。在对图像融合方法分析的基础上,结合地质灾害调查的任务和研究区具体情况,以全色SPOT和多光谱TM影像为数据源,进行数据融合算法及图像质量评价研究,取得了良好的效果。融合后图像不仅保留了多光谱信息,而且空间信息量也得到了增强,提高了孕灾因子及承灾体的提取精度,为地质灾害调查与地质灾害风险评价起到了技术支撑作用。
Frequent geohazard in China have caused heavy casualties and economic losses."5·12" earthquake induced a large number of geohazard such as landslides,collapse,debris flow and barrier lake etc.causing significant loss of life and property.Practice shows that the use of remote sensing technology can be a wide range of geohazard survey and monitoring,but also a marked improvement in response speed.But currently there are more types of sensors,so how the laws are found in mass data,how to collaborative process data,and how to make up for the deficiency on information extraction capabilities is a serious problem.This paper,based on the analysis of the commonly used image fusion method and combined with the task of investigating the geohazard and specific circumstances of the study area,regards full color multi-spectral SPOT and TM images as the data source and carries out the data fusion algorithm and image quality evaluation,so as to obtain good results,which not only retains the multi-spectral images of spectral information,but also increases space of the amount of information fusion images to make up for the shortage of the amount of information of single data and to improve pregnant disaster factor and hazard-affected body extraction accuracy.So those have played a role in technology support in the geological hazard and risk assessment of geohazard,and their research on the geohazard-prone areas of disaster prevention and mitigation and disaster sensing mechanism is provide with reference.
Frequent geohazard in China have caused heavy casualties and economic losses."5·12" earthquake induced a large number of geohazard such as landslides,collapse,debris flow and barrier lake etc.causing significant loss of life and property.Practice shows that the use of remote sensing technology can be a wide range of geohazard survey and monitoring,but also a marked improvement in response speed.But currently there are more types of sensors,so how the laws are found in mass data,how to collaborative process data,and how to make up for the deficiency on information extraction capabilities is a serious problem.This paper,based on the analysis of the commonly used image fusion method and combined with the task of investigating the geohazard and specific circumstances of the study area,regards full color multi-spectral SPOT and TM images as the data source and carries out the data fusion algorithm and image quality evaluation,so as to obtain good results,which not only retains the multi-spectral images of spectral information,but also increases space of the amount of information fusion images to make up for the shortage of the amount of information of single data and to improve pregnant disaster factor and hazard-affected body extraction accuracy.So those have played a role in technology support in the geological hazard and risk assessment of geohazard,and their research on the geohazard-prone areas of disaster prevention and mitigation and disaster sensing mechanism is provide with reference.
引文
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[8]Alatengtuya.The Analysis on the Precisions of TM、SPOT andTheir Fusion Image in the Land Use Investigation[J].Journal ofArid Land Resources&Environment,2004,18(9):77-80.[阿拉腾图雅.TM、SPOT及其融合影像在土地利用调查中的精度分析[J].干旱区资源与环境,2004,18(9):77-80.]
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[10]Parul Shah,Merchant S N,Desai U B.Multifocus and Multi-spectral Image Fusion based on Pixel Significance Using Mul-tiresolution Decomposition[J].Signal,Image and Video Pro-cessing,2011,21(3):259-270.
[11]Ye Qin,Li Xiang,Chen Ying.Evaluating Aerophoto Image Quali-ty based on Character Statistics[J].Remote Sensing Information,2006,5:20-23.[叶勤,李翔,陈鹰.基于统计特性方法的航空遥感图像质量评定研究[J].遥感信息,2006,5:20-23.]
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[14]Li Xinliang,Zhao Shuhe,Ke Changqing,et al.The Study ofMethods of Quantitative Evaluation on Remote Sensing ImageFusion and Actualization[J].Remote Sensing Technology andApplication,2007,22(3):460-465.[黎新亮,赵书河,柯长青,等.遥感图像融合定量评价方法及实验研究[J].遥感技术与应用,2007,22(3):460-465.]
[15]Weng Yongling,Tian Qingjiu.Analysis and Evaluation of Me-thod on Remote Sensing Data Fusion[J].Remote Sensing In-formation,2003,3:49-54.[翁永玲,田庆久.遥感数据融合方法分析与评价综述[J].遥感信息,2003,3:49-54.]
[16]Jia Yonghong.A Method of Image Fusion to Enhance SpatialResolution of Remotely Sensed Multispectral Images[J].Re-mote Sensing Technology and Application,1997,12(1):19-23.[贾永红.遥感多光谱影像空间分解力增强的融合方法[J].遥感技术与应用,1997,12(1):19-23.]
[17]Xue Dongjian,He Zhengwei,Qiu Wenxia,et al.Quality As-sessment and Application of Remote Sensing Image Fusionbased on EML and SML[J].Remote Sensing Information,2009,6:63-67.[薛东剑,何政伟,仇文侠,等.基于EML与SML实现遥感影像融合质量评价及应用研究[J].遥感信息,2009,6:63-67.]
[18]Feng Dongxia,Yu Deqing,Long Jiebing.Application Foregr-ound Researching of Remote Sensing Technology about Geo-logic Disaster[J].Hunan Geology,2002,21(4):314-318.[冯东霞,余德清,龙解冰.地质灾害遥感调查的应用前景[J].湖南地质,2002,21(4):314-318.]
[19]Zhang Chunshan,Zhang Yecheng,Ma Yinsheng.Regional Da-ngerous on the Geological Hazards of Collapse,Landslide andDebris Flows in the Upper Reaches of the Yellow River[J].Journal of Geomechanics,2003,9(2):143-153.[张春山,张业成,马寅生.黄河上游地区崩塌、滑坡、泥石流地质灾害区域危险性评价[J].地质力学学报,2003,9(2):143-153.]
[2]Li Guoyan,Liu Xiaomei,Li Jinlian.Research on Remote Sens-ing Image Fusion based on Image Multiscale Analysis[J].Sci-ence of Surveying and Mapping,2008,33(1):115-118.[李国砚,刘晓玫,李金莲.基于多尺度分析的遥感影像融合研究[J].测绘科学,2008,33(1):115-118.]
[3]Li Zhenhua,Jing Zhongliang,Sun Shaoyuan,et al.RemoteSensing Image Fusion based on Steerable Pyramid FrameTransform[J].Acta Optica Sinica,2005,25(5):598-602.[李振华,敬忠良,孙韶媛,等.基于方向金字塔框架变换的遥感图像融合算法[J].光学学报,2005,25(5):598-602.]
[4]Hong Gyoo Sohn,Konghyun Yun,Hoon Chang.Analysis ofImage Fusion Methods Using IKONOS Imagery[J].KSCEJournal of Civil Engineering,2003,7(5):577-584.
[5]Zeng Meilan,Jin Shengping.Multisensor Image Fusion basedon Wavelet Frame[J].Computer Engineering and Applica-tions,2004,24:59-61.[曾梅兰,金升平.基于小波框架的多传感器图像融合[J].计算机工程与应用,2004,24:59-61.]
[6]Gou Lei,Li Huihui,Bao Yongsheng.Image Fusion[M].Beijing:Publishing House of Electronics Industry,2008.[郭雷,李晖晖,鲍永生.图像融合[M].北京:电子工业出版社,2008.]
[7]Kang Tingjun,Zhang Xinchang,Wang Haiying.An ImprovedFusion Method of IHS for ETM+Image and the Contrast ofLand Cover Classification[J].Geography and Geo-Informa-tion Science,2009,25(4):64-67.[康停军,张新长,王海鹰.ETM+影像IHS融合算法改进及其土地覆盖分类实验比较[J].地理与地理信息科学,2009,25(4):64-67.]
[8]Alatengtuya.The Analysis on the Precisions of TM、SPOT andTheir Fusion Image in the Land Use Investigation[J].Journal ofArid Land Resources&Environment,2004,18(9):77-80.[阿拉腾图雅.TM、SPOT及其融合影像在土地利用调查中的精度分析[J].干旱区资源与环境,2004,18(9):77-80.]
[9]Han Ling,Wu Hanning.An Application of Multi-source Re-mote Sensing Data Fusion in Geological Interpretation[J].Re-mote Sensing Information,2004,2:35-37.[韩玲,吴汉宁.TM与ETM影像融合用于地质构造解译[J].遥感信息,2004,2:35-37.]
[10]Parul Shah,Merchant S N,Desai U B.Multifocus and Multi-spectral Image Fusion based on Pixel Significance Using Mul-tiresolution Decomposition[J].Signal,Image and Video Pro-cessing,2011,21(3):259-270.
[11]Ye Qin,Li Xiang,Chen Ying.Evaluating Aerophoto Image Quali-ty based on Character Statistics[J].Remote Sensing Information,2006,5:20-23.[叶勤,李翔,陈鹰.基于统计特性方法的航空遥感图像质量评定研究[J].遥感信息,2006,5:20-23.]
[12]Li S T,James T K,Wang Y.Using the Discrete WaveletFrame Transform to Merge Landsat TM and SPOT Panchro-matic Images[J].Information Fusion,2002,3(1):17-23.
[13]Zhao Wenji,Duan Fuzhou,Liu Xiaomeng,et al.Topics andPractice of ENVI Remote Sensing Image Processing[M].Bei-jing:China Environmental Science Press,2007.[赵文吉,段福州,刘晓萌,等.ENVI遥感影像处理专题与实践[M].北京:中国环境科学出版社,2007.]
[14]Li Xinliang,Zhao Shuhe,Ke Changqing,et al.The Study ofMethods of Quantitative Evaluation on Remote Sensing ImageFusion and Actualization[J].Remote Sensing Technology andApplication,2007,22(3):460-465.[黎新亮,赵书河,柯长青,等.遥感图像融合定量评价方法及实验研究[J].遥感技术与应用,2007,22(3):460-465.]
[15]Weng Yongling,Tian Qingjiu.Analysis and Evaluation of Me-thod on Remote Sensing Data Fusion[J].Remote Sensing In-formation,2003,3:49-54.[翁永玲,田庆久.遥感数据融合方法分析与评价综述[J].遥感信息,2003,3:49-54.]
[16]Jia Yonghong.A Method of Image Fusion to Enhance SpatialResolution of Remotely Sensed Multispectral Images[J].Re-mote Sensing Technology and Application,1997,12(1):19-23.[贾永红.遥感多光谱影像空间分解力增强的融合方法[J].遥感技术与应用,1997,12(1):19-23.]
[17]Xue Dongjian,He Zhengwei,Qiu Wenxia,et al.Quality As-sessment and Application of Remote Sensing Image Fusionbased on EML and SML[J].Remote Sensing Information,2009,6:63-67.[薛东剑,何政伟,仇文侠,等.基于EML与SML实现遥感影像融合质量评价及应用研究[J].遥感信息,2009,6:63-67.]
[18]Feng Dongxia,Yu Deqing,Long Jiebing.Application Foregr-ound Researching of Remote Sensing Technology about Geo-logic Disaster[J].Hunan Geology,2002,21(4):314-318.[冯东霞,余德清,龙解冰.地质灾害遥感调查的应用前景[J].湖南地质,2002,21(4):314-318.]
[19]Zhang Chunshan,Zhang Yecheng,Ma Yinsheng.Regional Da-ngerous on the Geological Hazards of Collapse,Landslide andDebris Flows in the Upper Reaches of the Yellow River[J].Journal of Geomechanics,2003,9(2):143-153.[张春山,张业成,马寅生.黄河上游地区崩塌、滑坡、泥石流地质灾害区域危险性评价[J].地质力学学报,2003,9(2):143-153.]
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