用户名: 密码: 验证码:
造山带复杂结构构造区遥感——构造综合解析
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
大陆地质和大陆动力学研究是当今地球科学研究的前缘领域之一,大陆造山带则为大陆动力学解剖的关键地区,客观确定造山带的结构构造及其构造演化将为大陆动力学研究提供关键性基础。
     南天山东段铜花山—榆树沟地区地处我国西部高寒山区,地表裸露,环境恶劣,野外填图难度较大,但地质信息在遥感图像上反映充分。因而,本文选择这一地区作为我国西部地区从遥感图像上提取造山带复杂结构构造信息的解剖区,充分利用遥感图像多波段反映物质属性的特点和图像处理提取隐含信息的优势,采用遥感解析—构造解析相结合的研究方法,以区域线状构造及由它划分的块状、片状地质体为宏观骨架(对应于构造解析划分的构造单元、构造均匀区段),以地质体中的岩石岩体、构造岩石组合,线状、带状构造,透入性、非透入性面状(原始层理、新生面理)和褶皱等构造作为用于解析的结构构造要素,进行造山带表壳组成和结构构造解析研究。
     通过遥感—构造的综合解析,总结出从遥感图像上辨识高压麻粒地体、韧性剪切带、叠加褶皱及不同应变带、不同类型面理和不同岩体的图像处理方法,并获得榆树沟—铜花山地区区域地质特征的重新认识。根据区内出露的地层、岩性、构造块体、变形变质作用特征,全区可分为南北两带的变质褶皱地层系统和中带的构造混杂系统以及不同期次的岩浆侵入体。北带以志留系大理岩、绿泥、云母石英片岩为主,不同岩性组成的岩片以不同形式的断层、褶皱相互交织叠置。南带以泥盆系凝灰岩、凝灰质片岩、大理岩为主,地层相对稳定,表现为轴向东西的区域性不对称褶皱,广泛分布控制全区构造格局的南北向逆冲推覆的叠瓦式断裂。中间构造带地层复杂,层序混乱,表现为不同时代、不同岩性、不同规模的构造块体的相互拼贴。特别是发育于该带的蛇纹石化橄榄岩,呈大小不同的透镜状块体与其它地质体以断层叠置,共同构成区内中带的大型构造混杂岩带。本区上述的结构构造特征先后经历了五期构造作用,依次为:(1)南北向逆冲推覆;(2)左行走滑;(3)右行走滑;(4)南北向挤压推覆;(5)北东向、北西向晚期断裂;
The continental dynamics and continental geology is one of the advanced ranks of geoscience research , the continental orogenic belt is the key issues of continental dynamics .To determinate the framework and evolution of orogenic belt will be an important basis for continental dynamics study .
    TongHuaShan-YuShuGou area is one of the typical western mountainous district of high and cold, with the bareness of the surface and bad environment. it is difficult to do the field geological mapping there . however geological information is fully recorded in the remote sensing image, which made it possible for the choosing of this area as a dissection point to extract complex structural information of orogenic belt in west china. Taking fully advantage of multi-band image richly bearing concealed geological information in combination with remote sensing analysis and structure analysis, to anatomy the supracrustal composition and structure of orogenic belt with the regional linear structures and their partitioned block and schistous geological masses as the macro-frame(in corresponding to structure units and structure segments) and with the rock masses, structure-rock assemblages, line-featured and belt-featured structures as well as penetrative and non-penetrative foliation (primary stratum and trans position layering) and folds as the texture and structure elements .
    The methods of how to distinguish granulite > ductile-shear zone, imposed fold, different deformed belts -. different rock mass on the remote sensing images were obtained, based on a comprehensive remote-structure analysis, a new acknowledge on the characteristics of regional structure in TongHuaShan-YuShuGou area was acquired .
    It was suggested that TongHuaShan-YuShuGou area underwent multi-phase structure movement, multi-phase, multi-orientation> multi-level deformed structure superimposed each other accompanied with complex deformation. The style of deformation in different rock mass and tectonic units is varied . According to the distinction of stratigraphic assemblage ,rock type .tectonic block type and the characteristics of deformation ,the whole district can be subdivided into three structure belt .namely southern and northern metamorphic fold stratigraphic system and central tectonic mixed system and multi-stage intruded magmatites. The north belt is mainly composed of Silurian marble , chlorite-quarts schist ,biotite-quarts schist. Lithologically different rock sheets intertexturally superimposed with faults and folds of various styles .while, the southern belt is chiefly of Devonian tuff ,tuffaceous schist ,marble relatively stable in strata and manifested by regional asymmetric fold easi-westward in axis, with well developed superimposed overthrust south-northward which controlled the whole structural framework in this area . the central tectonic belt is complex in strata , reflected by matching up of rock blocks with different ages x lithology and scales . especially interesting is the serpentinous peridotite in this belt occurred as lense blocks of various sizes, and superimposed with other geological masses with faults, and in combine to constitute the mixture .system in the belt. five tectonic stage can be
    
    
    
    discerned in this area: (1 )south-north ward overthrust; (2)sinistral strike-slip (3)dextral strike-slip (4)south-north ward overthrust (5) northeast, northwest late stage fault
引文
1.陆关祥、周鼎武等,复杂结构构造区遥感图像的地质信息提取方法—基于小波变换的多层次图像分割,地球科学,2002.1,50~54
    2.陆关祥,一种提取地下隐伏信息的专题抽取法,西北地质,2000.4 20~25
    3.陆关祥、周鼎武,南四湖—北五湖地区断裂构造的多源信息解析,西北大学学报,2001.3,40~45
    4.陆关祥,周鼎武等,造山带复杂结构构造区TM图像上地质信息提取,待刊
    5.陆关祥、周鼎武等,TM图像上叠加褶皱信息提取,待刊
    6.陈述彭,遥感地学分析的时空维,遥感学报,1997,1(3)161~171
    7.陈述彭、赵英时,遥感地学分析,199l,北京,测绘出版社
    8.陈述彭、童庆禧、郭华东主编,遥感信息机理研究,1998,科学出版社
    9.郭德方主编,遥感图像的计算机处理和模式识判,电子工业出版社,1987
    10.程相君、王春宁、陈生潭编著,1995,神经网络原理及其应用,国防工业出版社
    11.关泽群、李德仁、林开愚,基于空间推理的专题影像解译,测绘学报,1993,22(1):41~49
    12.黄波、王英杰,GIS与ES的结合及其应用初探,环境遥感,1996,11(3):234~239
    13.贾永红、李德仁等,四种HIS变换用于SAR与TM影象复合的比较,遥感学报,1998,2(3):103~106
    14.敬忠良、杨永胜,基于模糊神经网络和D~S推理的智能特征信息融合研究,信息与控制,1997,26(2):107-111
    15.李军,周月琴、李德仁,小波变换用于高分辨率全色影像与多光谱影像的融合研究,遥感学报,1999,3(2):116~121
    16.李晓忠等编著,1994,模糊神经网络,贵州,贵州出版社
    17.骆剑承、周成虎、梁怡,基于尺度空间的分层聚类方法及其在遥感影像分类中的应用,测绘学报,1999,第四期,319~324
    18.骆剑承、周成虎、梁怡,空间逐步寻优的数据挖掘法的多波段影像分类研究,地球信息科学,1999,6(1):52~59
    19.骆剑承、周成虎、杨艳,基于径向基函数(RBF)映射理论的遥感影像分类模型研究,中国图像图形学报,2000,第二期
    20.骆剑承、周成虎、杨艳,具有部分监督的遥感影像模糊聚类方法研究及应用,遥感技术与应用,1999,14(4):37~43
    21.马蔼乃,遥感信息模型,1997,北京大学出版社
    22.术洪磊等,GIS辅助下的基于知识的遥感图像分类方法研究,测绘学报,1997,26(4):328~336
    23.田庆久、董卫东、郑兰芬、童庆禧,新疆柯坪地区沉积岩光谱特征分析,遥感技术与应用,1996,11(2),1~8
    24.童庆禧等编著,中国典型地物波谱及其特征分析,1990,科学出版社
    25.王志刚、朱振海、王红梅等,光谱角度填图方法及其在岩性识别中的应用。遥感学报,1999,3(1),60~65
    26.张满郎,金矿蚀变信息提取中的主成分分析,遥感技术与应用,1996,11(3):1~6
    27.朱长青著,小波分析理论与影像分析,1998,测绘出版社
    28.周成虎、骆剑承等,遥感影像地学理解与分析,2001,科学出版社
    29.胡吕华、张军波等,基于MATLAB的系统分析与设计—小波分析,2000,西安电子科技大学出版社
    
    
    30.黄贤武、王加俊等,数字图像处理与压缩编码技术,2000,电子科技大学出版社
    31.张远鹏等,计算机图像处理技术基础,北京大学出版社,1996
    32.陈守吉、张立明编著,分形与图像压缩,上海科技教育出版社,1992
    33.陈衍仪编著,图像压缩的分形理论与方法,国防工业出版社,1997
    34.朱亮璞主编,遥感地质学,地质出版社,1994
    35.杨德明,韧性剪切带遥感图像特征和航磁异常特征的研究,长春地质学院学报(河北地质专辑),1992,15~20
    36.李春昱,用板块构造学说对中国部分地区构造发展的初步分析,地球物理学报,1975,18:52~76
    37.李春昱,中国板块构造的轮廓,中国地质科学院院报,1980,2(1)
    38.索书田,大陆岩石圈流变学研究,地质科技情报,1992,11(2):6~10
    39.肖庆辉、李晓波、贾跃明等,当代造山带研究中值得重视的若干前沿问题,地学前缘,1995,2(1):43~50
    40.肖庆辉编,大陆岩石圈的结构与动力学,中国地质大学出版,1993
    41.许志琴,地壳变形与显微构造,地质出版社,1984,
    42.朱志澄,宗鸿林,构造地质,武汉,中国地质大学出版社,1990
    43.吴文奎、姜赏义、杨复著 库米什地区古生代地壳演化及成矿规律,陕西科学技术出版社,1992
    44.吴文奎,新疆天山地质构造及其成矿的若干问题,新疆地质,1985,3(4):1~10
    45.吴文奎、姜常义、徐福留等,库米什南部志留纪地层及其岩石学与数学地质特征雏议,新疆地质科学,1990
    46.吴文奎、姜常义、徐福留等,新疆库米什地区晚志留系地层划分及沉积环境的初步探讨,西安地质学院学报,1990,12(2):12~20
    47.吴文奎、姜常义等,榆树沟—铜花山地区蛇绿构造混杂体特征,西安地质学院学报,1992,14(1):12~16
    48.张良臣、吴乃元,天山地质构造及演化史,新疆地质,1985,3(3):21~26
    49.邓起东,中国活动构造研究的进展与展望,地质论评,2002,2(3):168~177
    50.刘瑞珣,中国显微构造地质学的回顾,地质论评,2002,2(3):178~181
    51.钟大赉、丁林、张进江等,中国造山带研究的回顾和展望,地质论评,2002,2(3):147~152
    52.吴淦国、张达、陈柏林等,构造地质学现状和进展,地质论评,2001,4(7),446'448
    53.张原庆、钱祥麟、李江海等,造山作用概念和分类,地质论评,2002,2(3):193~197
    54.宋鸿林,五十年来中国小型构造研究的回顾与展望,地质论评,2002,2(3):158~167
    55.陆松年、李怀坤等,地质事件、序列和事件群,地质论评,2002,2(3):521~526
    56.张长厚等,初论板内造山带,地学前缘,1999,6(4):295~308
    57.李继亮,“造山带研究”笔谈会,地学前缘,1999,6(3):1~3
    58.陈克强、汤加富,构造地层单位的划分与使用,构造地层单位研究,武汉:中国地质大学出版社,1995,1~92
    59.肖序常、汤跃庆等,新疆北部及其邻区大地构造,1992,地质出版社
    60.车自成等,中天山构造带的形成和演化,1994,地质出版社
    61.马瑞士,东天山构造演化与成矿,1997,地质出版社
    62.王润三、王焰、刘养杰、炎金才等,新疆南天山榆树沟层状杂岩体中的副麻粒岩—岩石学特征及其地球动力学意义,西北大学学报(自然科学版),1997,27(5)411~416
    63.王润三、王焰、刘养杰等,新疆榆树沟高压麻粒岩的岩石学特征和变质条件的初步研究(摘要),见:30届国际地质大会论文摘要汇编,1996,Vol.2:603
    
    
    64.王润三、刘养杰、炎金才等,对《南天山北缘麻粒岩残迹与辉石相韧性变形研究》一文质疑,地质科学,1998,4:502~504
    65.王润三、王焰、李惠民等,南天山榆树沟高压麻粒岩地体锆石U-Pb定年及其地质意义,地球化学,1998,6:517~522
    66.王润三、周鼎武、王居里等,南天山榆树沟华力西期深地壳麻粒岩地体研究,中国科学(D辑),1999,29(4):306—313
    67.王润三、王居里、周鼎武等,南天山榆树沟遭受麻粒相变质改造的蛇绿岩套研究,地质科学,1999,34(2):166—176
    68.王润三、王居里,新疆中天山北缘胜利达坂韧性剪切带,新疆地质,1992,10(3):204~211
    69.王润三、周鼎武等,南天山榆树沟高压麻粒岩地体多期变质定年研究,2002,待刊
    70.周鼎武、李文厚等,《区域地质综合研究方法和实践》—鄂尔多斯盆地—秦岭造山带地质走廊野外教学指导书,科学出版社,2002
    71.张国伟、周鼎武等,嵩箕地区古构造解析,《华北断块区南部前寒武纪地质演化》冶金工业出版社,1985:116~145
    72.张国伟等,关于中国大陆动力学与造山带研究的几点思考,地质论评,2002,1(2):7~12
    73.周鼎武等,陕西商县~丹风地区“秦岭群”多期构造解析《秦岭造山带的形成及其演化》,西北大学出版社,1988:116~125
    74.张国伟、周鼎武,冀东曹庄杂岩的构造解析,《中朝准地台前寒武纪地壳演化》,科学出版社,1993:9~27
    75.周鼎武等,陕西商县~柞水地区的左行走滑构造,西北大学学报,1992(增刊):133~143
    76.周鼎武等,鄂尔多斯盆地西南缘地质特征与秦岭造山带形成演化,北京:地质出版社,1994
    77.周鼎武、张泽军等,东秦岭元古代松树沟蛇绿岩片的地质、地球化学特征,岩石学报,1995.8卷增刊:154~164
    78.周鼎武、刘良等,造山带高压、超高压变质岩形成和折返的地球动力学研究,地学前缘,1994.2(1-2):59~66
    79.周鼎武、刘良等,松树沟元古宙蛇绿岩Nd、Sr、Pb同位素地球化学,地质科学,1998.1:31~38
    80.周鼎武、张成立等,武当地块基性岩墙群Ar~(40)~Ar~(39)定年及其地质意义,岩石学报,1999.1:52~69
    81.周鼎武、张成立等,地球构造及其演化历史研究中的几个关键问题,地学前缘,1997.4:264~270
    82.周鼎武、张成立等,大陆造山带元古宙构造体研究的思路和方法探讨—以秦岭造山带为例,地球科学进展,1996.2:185~170
    83.王润生编著,图像理解,国防科技大学出版社,1995
    84.何国琦、李茂松,论地球系统,北京大学学报,1998,34(2~3):370~378
    85. A.Baraldi,F. Parmiggiani, 1995, A Neural Network for Unsupervised Categorization of Multi-valued Input Patterns:An Application to Satellite lmage Clustering,IEEE Transactions on Geo-Science and Remote Sensing, 33 (2): 305~316
    86. A.H.Schistad Solberg, Anii K. Jain, and Torfinn Taxt, 1994, Multi-source Classification of Remotely Sensed Data: Fusion of Landsat TM and SAR Images, IEEE Transacations on
    
    Geo-Science and Remote Sensing , 32 (4) : 768-777
    87. A.D.Kulkarni , Praveen Coca , G. B.Giridhar , Y. Bhatikar , 1994 , Neural Network Based Fuzzy Logic Decision System , Proceedings of world Congress on Neural Network-San Diego, 1705-1712
    88. A.G.Journel, 1996 , Modeling uncertainty and spatial dependence: Stochastic imaging , Int. J. Geographical Infornation Systems , 10 (5) : 517-522
    89. A.K.Skidmore , B. J. Turner , W. Brinkkhof and E. Knowles , 1997 , Performance of a Neural Network: Mapping Forest Using GIS and Remotely Sensed Data , Photogrammetric Engineering & Remote sensing , 63 (5) : 501-514
    90. A.P.NEWTON , 1993 , Discriminating rock and surface type with multispectral satellite data in the Richtersveld , NW Cape Province , South Africa , INT. J. Remote Sensing , 14 (5) : 943-959
    91. ABEL ,D.J., KILBY , P. J., and DAVIS , J.R., 1994 , The systems integration problem. INT. J. Geographical Information System , 8: 1-12
    92. ALAIN Grumbach, 1996 , Grounding Symbols into Percetion , Artificial Intelligence Review , Vol10: 131-146
    93. Alan M. N. Fu , Hong Yan , 1996 , Contour Classification by a Hopfield-Amari Network , Proceedings of Progress in Neural Information Processing'96-Hong Kong, p389~394
    94. A.M. Flygare , 1997 , A Comparison of contextual classification methods using Landsat TM , INT. J. Remote Sensing, 18 (18) :3835~3842
    95. Andrew K. Skidmore , Fiona Watford , Paisan Luckananurug , and P. J. Ryan , 1996 , An Operational GIS Expert System for Mapping Foest Soils , Photogrammetric Engineering & Remote sensing. 62 (5) :501~511
    96. Apan, A.A , 1997 , Land cover mapping for tropical forest rehabitation planning using remotely-sensed data. International Journal of Remote Sensing, 18 (5) : 1029-1049
    97. Arai, K., 1991 , Multi-Temporal Texture Analysis in TM Classification.Canadian Journal of Remote Sensing, 17 (3) :263~270
    98. Ascani, F. ,Agrit-program , 1987 , The Operation Use of Remote Sensing for Wheat and Corn Production at National Level. International Symposium , Remote sensing of Environment, 20th proceedings , Vol. 1:287~292
    99. A.Mannan , J. Roy and A. K. Ray , 1998 ,Fuzzy Artmap supervised classification of multi-spectral remotely-sensed images , Int. J. Remote Sensing, 19 (4) :767~774
    100. B.Nassersharif and V. Rajan , 1993 , Automated Training of Back-propagation Neural Networks Using a Real-Time Expert System , Proceedings of World Congress on Netural Networks'1993,1536-542
    101. A.Nassersharif , D. Ence , and M.Au , 1994 , Visualization of Evolution of Genetic Algorithms, Proceedings of world Congress on Neural Networks-San Diego , 1560-1565
    102. Band L.E. and Wood E. F. , 1988 , Straregies for Large Scale Distributed Hydrologic Simulation , Applied Mathematics and Computation , 27: 23-37
    103. Barber D.G.and Ledrew E.F. , 1991 , SAR sea ice discrimination using texture statistics:A multivarice approach , PE&RS , 57 (4) :385~295
    104. Baret, F., and Guyot, G. ,1991 , Potentials and limits of vegetation indices for LAI and PAR assessment, Remote Sensing of Environment.35: 295~309
    105. Barnard S.T., 1990 , Recent Progress in Cyclops:A system for Stereo Cartography , 1990
    
    Darpa Image Understanding Worshop , 449-455
    106. Barry Haack , Nevin Bryant And Steven Adams , 1987 , An Assessment of landsat MSS and TM datd for urban and Near-urban land-cover digital classification , R.S. of Environment, 21: 201-213
    107. Bassel Solaiman.Raphael K.Koffi,1998,An information Fusion Method for Multi-Spectral Image Classification Post-Processing,IEEE Transactions on Geo-Science and Remote Sensing,36(2) :395~406
    108. Bhanu B.,and Ming J.C.,1998,Triple:A Multi-Strategy Matching Learning Approach to Target Recognition, 1988 DARPA Image Understanding Workshop,537~547
    109. Brooks R.A., 1981,Symbolic Reasoning Among 3-D Models and 2-D Images, Artifical Intelligence,17:285~349
    110. Carlotto M.J. and Tom V.T.,1985,Surface mterial classification based on spectral shape, Proceedings of IGARSS,Amberst, Massachusetts,703~708
    111. Chavez P.S. Jr.,Sodes S.C., 1991 .Anderson J.A. Comparison of three different methods to multiresolution and multispectral data:TM & SPOT PAN. Photogrammetric Engineering and Remote Sensing,57(3) :295~303
    112. civco,D.L.1993,Artificial neural networks for land-cover classification and mapping,Int.J. Geographical Information Systems, 7(2) :173~186
    113. Clark,R.N.,1983,Spectral properties of mixtures of montmorillonite and dark carbon grains:Implications for remote sensing minerals containing chemically and physically absorbed water J. Geophys. Res.,88:10635~10644
    114. Corby N.R.,Mundy J.L. et.,1988,PACE an Environment for Interlligence Analysis ,1988 DARPA Image Understanding Workshop,342~350
    115. Cunran,P.J.,1988,The semivariogram in remote sensing:An Introduction Remote sensing of Environment,24:493~507
    116. Dancy K.J.,Webster R. et al.,1986, Estimating and Mapping grass Cover and Biomass from Low-level Photographic Sampling .International Journal of Remote Sensing,7:1679-1704
    117. Davis F.W.et al.,1991,Envirnmental Analysis Using Integrated GIS and Remotely Sensed Data:Some Research Needs and Priorities,37(6) :689~697
    118. Edward A. Ashton, 1998,Detection of Subpixel Anomalies in Multispectral Infrared Imagery using an Adaptive Bayesian Classifier.IEEE Transactions on Geo-Science and Remote Sensing. 36(2) :506~517
    119. Zhou Dingwu, Zhang Chengli, et al. The basic dyke swarms in the Wudang block and its geological significance. Chinese Science Bulletin 1998. 13:1111-1114.
    120. Zhou Dingwu, Liu Liang, et al. A discussion of the middle and late praterozic tectonic regime of Qinling-Dabie orogenic balt, Journal of Northwest University, 1996. 26: 105-110
    121. Wang Fangju ,1990,Fuzzy Supervised Classification of Remote Sensing Images, IEEE Transactions on Geoscience and Remote Sensing ,28(2) : 194-201
    122. Foody,G.M.1995,Using Prior Knowledge in artifical neural network classification with a minimal training set.Int.J.of Remote Sensing, 16,301-312
    123. Gahegan M.and Flack J.,1996,Model to Support the Integration of Image Understanding Techniques with a GIS,62(5) :483~490
    
    
    124. Guindon B.,1997,Computer-Based Aerial Image Understanding:A Review and Assessment of its Application to Planimetric information Extraction from Very High Resolution Satellite Images.Canadian Journal of Rs ,23(1) :38~46
    125. Harvey W.A.,Diamond M et al.,1992, Tools for Acquiring Spatial and Functional Knowledge in Aerial Image Analysis, 1992 DARPA Image Understanding Workshop, 857-873
    126. James A. Freeman ,1994, Simulating Neural Networks with Mathematica,Addison-wesley Publishing Company
    127. Jean Fromcois Mas and I. Sabel Ramirez 1996, Comparison of land use classification obt ained by visual interpretation and digital processing ITC Journal ,3(14) :278~283
    128. Kruse,F.A.,et al, 1993, The Spectral Image Processing System (SIPS)-Interactive Visualization and Analysis of Imaging Spectrometer Data . Remote sens.Environ.,44:145~163
    129. Lee J.H. and Philpot W.D., 1991,Spectral Texture Matching :A Classifier for Digtital Imagery.IEEE Transaction on Geoscience and Remote Sensing, 29(4) :545~554
    130. Manfred M. Fischer. And S. GopaI,1994,Artifical Neural Networks :a New Approach to Modeling Interregional Telecommunication Flows, Journal of Regional Science ,34(4) :503~527
    131. Nellis M.D. and Briggs J.M.,1989,The Effect of Spatial Scale on Konza Landscape Classification Using Textural analysis.Landscape Ecology,2:93~100
    132. Pereira, J.M.C. and L.Ducktein ,1993, A Multiple Criteria Decision-making Approach to GIS-based Land Suitability Evaluation, International Journal of Geographical Information Systems,7(5) :407~424
    133. Rajesh N. Dave and Raghu Krishnapuram, 1997, Roubst clustering Methods:A Unified View, IEEE Transactions on Fuzzy systems,5(2) :270~293
    134. Raymond k.Wong ,1995 ,Logic Programming for Intelligent Spatial Information Systems.Proceedings of Geo-informatics'95 Hong Kong ,111-118
    135. Shufelt J.A. and Mckeown D.M.,1993, Fusion of Monocular Cues to Detect Man-Made Structures in Aerial Imagery ,Computer Vision ,Graphics and Image Proceessing ,57:307-330
    136. Sucharita Gopal and Manfred M.Fischer, 1997,Fuzzy ARTMAP-A Neural Classifier for Multi-spectral image Classification ,M.M.Fischer ,A.Getis(editors),Recent Developments in Spatial Analysis,Spinger
    137. Townshend J.R.G. and Justice C.O.,1988, Selecting the Spatial Resolution of Satellite Sensors Required for Global Monitoring of Land Transformations .International Journal of Remote Sensing,9:187-236
    138. Wilkinson.G.G.,1993, Neural network: A new analysis tool for GIS and remote sensing .GIS Europe,2, 38-40
    139. X. Zheng and P.Gong ,1995, Multi-Temporal Data Processing :Problems and Perspective,Proceedings of Geo-informatics'95 Hong Kong,406~411
    140. Yiufai wong ,1993 ,clustering Data by melting ,Neural Computation ,5:89-104
    141. Morlnar P. 1988. Continental tectonics in the aftermath of plate tectonics .Nature,335:131-137
    142. Royden L. H. 1993, The tectonic expression of slab pull at continental convergent
    
    boundries. Tectonics, 12:303-325
    143. Hoffman P.M. 1988. United plates of America ,the birth of a craton Early Protecrozoic assembly and growth of Laurentia.ann.Rev.Earth and Planet .Sci. ,16:543-603
    144. Rogers J. 1996 . A history of continents in the past three billion years. J.Geology,104:91-107
    145. O'Reilly S.Y, Griffin W.L. 1996. 4-D Lithosphere Mapping : methodology and example .Tectonophysics ,262: 3-18 .

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700