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《Geomatics and Information Science of Wuhan University》 2006-01
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Classification of Multi-Spectral Remote Sensing Image Based on Resource Limited Artificial Immune System

ZHONG Yanfei~1 ZHANG Liangpei~1 GONG Jianya~1 LI Pingxiang~1(1 State Key Laboratory for Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,129 Luoyu Road,Wuhan 430079,China)  
In this paper,some initial investigations are conducted to employ resource limited artificial immune system(RLAIS) for classification of multi-spectral remote sensing image.The proposed method trains the samples of regions of interest using the RLAIS and obtains the optimal the centers of classification.Image classification task by RLAIS is attempted and the preliminary results are provided.By the experiment,it is demonstrated that the method of this paper is superior to the three traditional algorithms,and its overall accuracy and Kappa coefficient reach 91% and 0.88 respectively.
【Fund】: 国家自然科学基金资助项目(40471088);; 国家973计划资助项目(2003CB415205)
【CateGory Index】: TP75
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【References】
Chinese Journal Full-text Database 1 Hits
1 XU Shi-Zhen,WU Yun-Dong(Institute of Surveying and Mapping,Information Engineering University,Zhengzhou,Henan,450052);An Algorithm for Remote Sensing Image Classification Based on Artificial Immune Network[J];Hydrographic Surveying and Charting;2008-04
【Co-references】
Chinese Journal Full-text Database 10 Hits
1 WEI Yaoguang, ZHENG Deling, FU Dongmei, ZHOU Ting Information Engineering School, University of Science and Technology Beijing, Beijing 100083, China;Artificial immune algorithm based on biological immune clone selection and immune network theory[J];Journal of University of Science and Technology Beijing;2005-02
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3 HU Qiang,YANG Liu(Department of Electronic and Information Engineering,Chengdu University,Chengdu 610106,China);Graph Identification Algorithm based on Immune[J];Journal of Chengdu University(Natural Science Edition);2006-02
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