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《Journal of Geomatics》 2010-03
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HIGH SPATIAL RESOLUTION REMOTE SENSING IMAGE CLASSIFICATION BASED ON OBJECT-ORIENTED MULTI-FEATURES

ZHANG Jun WANG Baoshan ZHANG Zhiqiang(3 Topographic Survey Team of SBSM,2 Ceihui Road Nangang District,Hrbin 150081,China)  
The object-oriented classification method was used to extract land use/land cover information from high spatial resolution remote sensing images,and the results were compared with the traditional information extraction method.The classification results were easier to understand and interpretative.Overall precision,Kappa,producer precision,user precision,Hellden precision and Short precision of object-oriented classification are better than that of traditional classification method.These experiments show that the object-oriented method is superior to traditional method in high resolution remote sensing information extraction.
【Fund】: 国家自然科学基金资助项目(50534050);; 国家自然科学基金资助项目(50774080)
【CateGory Index】: TP751
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【Citations】
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【Co-citations】
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1 LI Bai-shou①,QIN Qi-ming①,XU Jun-qiang②,ZHANG Wan-feng③,YAO Yun-jun①(①School of Earth and Space Sciences , Peking University, Beijing 100871;②The No.27 Institute, China Electron Science and Technology Grou PCorporation, Zhengzhou 450005;③College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026 );The design and implementation of expert system for linear texture understanding of remote sensing image[J];Science of Surveying and Mapping;2008-02
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【Secondary Citations】
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