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《Remote Sensing for Land & Resources》 2010-03
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Multitemporal Polarimetric SAR Data Fusion for Land Cover Mapping

XIE Chou1,WAN Zi1,XU Mao-song2,XIA Zhong-sheng3,ZHANG Feng-li1(1.Institute of Remote Sensing Applications,Chinese Academy of Science,Beijing 100101,China;2.Academy of Forestry Inventory,Planning and Designing,State Forestry Administration,Beijing 100714,China;3.Forestry Resource Administration Station,Forestry Department of Guizhou Province,Guizhou 550001,China)  
With the development of the polarimetric Synthetic Aperture Radar(SAR),the research on the land cover classification using SAR data has developed rapidly.However,the classification accuracy is seriously affected by the speckle noises on the SAR image.A new method combining the advantages of multi temporal SAR data and quad-polarization SAR data is presented in this paper.A method of multitemporal SAR data fusion was used to eliminate the effect of the speckle noises on the SAR image.An area of 12 km×17 km was selected as the test area.6 multi-temporal RADARSAT-2 images were used in this study to conduct the land cover classification.The results show that different land cover types represent different backscattering mechanisms,and the backscattering coefficient value of different land cover types varies as a function of time.Based on the fusion result of multi temporal polarimetric SAR data,the authors fulfilled the land cover classification,and the results show that this method can effectively distinguish such objects as man-made buildings,forests,farms and land and water.The speckle noise is obviously reduced and the visual appearance of the SAR fusion image is obviously improved.
【Fund】: 国家科技部863计划(编号:2007AA12Z146);; 中国科学院知识创新工程重大项目(编号:KZCX1-YW-08-02和KZCX2-YW-313-2)资助
【CateGory Index】: P237
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【Citations】
Chinese Journal Full-text Database 2 Hits
1 CAO Yun-gang(School of Civil Engineering,Southwest Jiaotong University,Chengdu 610031);Study on land classification using multi-temporal ASAR data[J];Science of Surveying and Mapping;2007-05
2 CHEN Fu-long1,2,3,WANG Chao1,3,ZHANG Hong3(1.State Key Laboratory of Remote Sensing Science,Jointly Sponsored by the Institute of Remote SensingApplications of Chinese Academy of Sciences and Beijing Normal University,Beijing 100101,China;2.Graduate University of the Chinese Academy of Sciences,Beijing 100101;3.China RemoteSensing Satellite Ground Station,Chinese Academy of Sciences,Beijing 100086,China);Multi-temporal SAR Images Classification Using Case-based Reasoning for Application of Land Use and Land Cover Change[J];Remote Sensing Technology and Application;2007-02
【Co-citations】
Chinese Journal Full-text Database 4 Hits
1 GONG Han-hua①②,DING Chi-biao①,ZHANG Xin①,LEI Bin①(①Institute of Electronics,Chinese Academy of Sciences,Beijing 100080,China;②Graduate University of the Chinese Academy of Sciences,Beijing 100039,China);A new approach to SAR image visual enhancement based on image hierarchical fusion[J];Science of Surveying and Mapping;2008-03
2 JI Ling-yun①,WANG Qing-liang①,CUI Du-xin①,YANG Cheng-sheng②(①Second Crust Monitoring and Application Center,CEA,Xi'an 710054,China;②School of Geological Engineering and Geomatics,Chang'an University,Xi'an 710054,China);Influence of SAR orbital data to the accuracy of dem by doris[J];Science of Surveying and Mapping;2009-05
3 XUE Lian, JIN Wei-bin, XIONG Qin-xue, LIU Zhang-yong (School of Agronomy, Yangtze University, Jingzhou 434025, Hubei, China).;Land cover classification of Four Lakes Region in Hubei Province based on MODIS and ENVISAT data[J];Chinese Journal of Applied Ecology;2010-03
4 BAI Li-na,WANG Beng-yu,TIAN Xin,LU Ying,YANG Yong-tian(Forestry Remote Sensing and Information Technology Laboratory Research Institute of ForestResource Information Techniques,Chinese Academy of Forestry,Beijing 100091,China);Winter Wheat Identification Using Multi-temporal ENVISat ASAR Data——A Case Study at Tongzhou District,Beijing[J];Remote Sensing Technology and Application;2010-04
【Secondary Citations】
Chinese Journal Full-text Database 2 Hits
1 HUANG Guoman~(①), GUO Jiankun~(②), Lü Jingguo~(①), XIAO Zhou~(①), ZHAO Zheng~(①),QIU Chunping~(①)(①Chinese Academy of Surveying and Mapping, Beitaiping Road, No.16, HaiDian, Beijing 100039, China;②Institute of Geographical Science and Natural Resources Research, CAS, 11A Datun Road, Anwai, Beijing 100101, China);Algorithms and experiment on SAR image orthorectification based on polynomial rectification[J];Science of Surveying and Mapping;2004-06
2 CHEN Jin-song~(1,2), SHAO Yun~1, LIN Hui~2(1.Institute of Remote Sensing Applications, Chinese Academy of Science, Beijing 100101, China;2.Joint Laboratory for Geoinformation Science, Esther Li Bldg., Rm615, Chung ChiCollege Shatin,N.T., Hong Kong);Characteristics and Analysis of Application of Envisat-ASAR Data[J];Remote Sensing Technology and Application;2004-06
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