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《Remote Sensing Technology and Application》 2008-03
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The Analysis of Single Polarization Synthetic Aperture Radar Images for the Application of Land-use and Land-cover Change

CHEN Fu-long1,2,3,WANG Chao3,1,ZHANG Hong3,ZHANG Bo3(1.Graduate University of the Chinese Academy of Sciences,Beijing 100049,China;2.State Key Laboratory ofRemote Sensing Science,Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University,Beijing 100101,China;3.Center for Earth Observation and Digital Earth,Chinese Academy of Sciences,Beijing 100086,China)  
For the investigation of land use and land cover change,taking the limitation of optical remote sensing in rainy or cloudy regions of China into consideration,synthetic aperture radar (SAR) can be an alternative way.In this paper,we first introduce an object-oriented imagery segmentation and classification software named Definiens Developer for the land use classification of single polarization spaceborne SAR images,including median resolution spaceborne SAR( take ENVISAT ASAR and Radarsat-1 as examples) and high resolution spaceborne SAR(take TerraSAR-X as an example).Then,we estimate the classification accuracy and analyze the potentials for the two modes spaceborne SAR images in the classification of land use and land cover change.In this part,conclusions for the interpretation of their corresponding SAR images are also given.
【Fund】: 国家自然科学基金项目(40601058);; 国家自然科学基金项目(40701108)
【CateGory Index】: TP79
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Chinese Journal Full-text Database 3 Hits
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Chinese Journal Full-text Database 10 Hits
1 Zhang Li1,2 Li Li-juan1 Liang Li-qiao1,2 Li Jiu-yi1,2 1Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, P. R. China 2Graduate University of the Chinese Academy of Sciences, Beijing 100039, P. R. China;Monitoring of vegetation coverage based on high-resolution images[J];中国林学(英文版);2007-04
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4 WANG Jian(Korle Tiantuo Institute of Geotechnical Investigation Surveying and Mapping,9 East Renmin Road,Korle 841000,China);OBJECT-ORIENTED IMAGE CLASSIFICATION AND ACCURACY ASSESSMENT[J];Journal of Geomatics;2008-02
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7 PU Zhi~(1,2),LIU Ping~1,YANG Liao~3,GE Ting-jin~4(1.College of Forestry,Xinjiang Agricultural University,Urumqi 830052,China;2.Xinjiang Forestry School,Urumqi 830011,China;3.Xinjiang Institute of Ecology and Geography,Chinese Academy of Science,Urumqi 830011,China;4.Institute of Forest Inventory and Planning,Xinjiang Production and Construction Group,Urumqi 830011,China);Study on Extraction of Urban Green Space Using Object-oriented Classification Method[J];Journal of Fujian Forestry Science and Technology;2006-01
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9 CAO Kai1,2,JIANG Nan2,Lü Heng2,ZHOU Lian-yi2,LIU Xin2 (1.School of Geography and Oceanographic Sciences,Nanjing University,Nanjing 210093,China;2.Nanjing Institute of Geography and Limnology,Chinese Academy of Sciences,Nanjing 210008,China);THE EXTRACTION OF WATER INFORMATION IN URBAN AREAS BASED ON SPOT 5 IMAGE USING OBJECT-ORIENTED METHOD[J];Remote Sensing for Land & Resources;2007-02
10 YU Hai-yang1,GAN Fu-ping2,WU Fa-dong1,DANG Fu-xing2(1.China University of Geosciences(Beijing),School of the Earth Sciences and Resources,Beijing 100083,China;2.China Aero Geophysical Survey and Remote Sensing Center for Land and Resources,Beijing 100083,China);THE PERFORMANCE OF OBJECT-BASED CLASSIFIERS IN THE CLASSIFICATION OF VHSR IMAGE[J];Remote Sensing for Land & Resources;2008-02
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5 WENG Yong-Ling~(1,2),GONG Peng~(1,3,4)(1.International Institute for Earth System Science,Nanjing University,Nanjing,Jiangsu 210093;2.Department of Surveying and Mapping Engineering,College of Transportation,Southeast University,Nanjing,Jiangsu 210096; 3.State Key Laboratory of Remote Sensing Science,Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University,Beijing 100101; 4.Department of Environment Science,Policy and Management,University of California,Berkeley,USA);A Review on Remote Sensing Technique for Salt-Affected Soils[J];Scientia Geographica Sinica;2006-03
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Chinese Journal Full-text Database 1 Hits
1 JIAO Zi-ti 1), LI Xiao-wen 1),2), WANG Jin-di 1), YAN Gang-jian 1) 1)(Center for Remote Sensing and Dept. Geography, Beijing Normal University, Beijing 100875) 2)(Center for Remote Sensing and Dept. Geography, Boston University, MA02215);A New Image Fusion Algorithm Based on Classification[J];Journal of Image and Graphics;2002-08
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