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《Chinese Journal of Radio Science》 2004-04
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An algorithm for automatic recognizing remote sensing image based on self-organization of local similarity

WEI Hui WANG Zeng-Jin(Department of Computer Science, Lab of Algorithm for Cognitive Model,Wave Scattering and Remote Sensing Center, Fudan University, Shanghai 200433, China)  
In this paper, a new pattern or feature abstraction algorithm is developed based on local attributes of remote sensing image, in order to make a physiognomic image analysis of the earth′s surface and acquire description where there are the foothill, forest, desert or alluvial pie slice etc. A size-changeable and edge-fuzzy window are designed to get many samples via sliding around image. All of these samples are served for the learning of a Support Vector Machine to make patterns classification. A self-organized comparability for assembling can be obtained based on the similarity of some types of local patterns and form a holistic understanding to remote sensing image. The results of classification experiment and application to some actual visible light images are presented.
【Fund】: 973国家重大基础研究规划项目 2 0 0 1CB30 94 0;; 航天支撑技术基金的资助
【CateGory Index】: TP75
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【Citations】
Chinese Journal Full-text Database 2 Hits
1 CHEN Yi, ZHENG Fu hai, ZHANG Nan xiong, JIN Ya qiu (Center for Wave Scattering and Remote Sensing Fudan University, Shanghai 200433, China);Monitoring and evaluation of flooding extent by using the Getis statistic of the SSM/I data[J];CHINESE JOURNAL OF RADIO SCIENCE;1999-03
2 Huang Xingzhong; Jin Yaqiu (Department of Electronic Engineering Wave Scattering and Remote Sensing Centre, Fudan University. Shanghai, 200433, China);A Simple Method for the Estimation of the Soil Wetness and Surface Roughness by Using Active/Passive Microwave Data[J];CHINESE JOURNAL OF RADIO SCIENCE;1996-01
【Secondary Citations】
Chinese Journal Full-text Database 1 Hits
1 Jin Yaqiu(Department of Electronic Engineering, Fudan University, Shanghai)Zhang Junrong and Zhao Renyu(Changchun Institute of Geography, Academia Sinica, Changchun);REMOTE SENSING OF SOIL MOISTURE BY MULTI-FREQUEN-CY MICROWAVE RADIOMETER AND NUMERICAL CALCULATION[J];;1990-03
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