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《Journal of Changchun Institute of Technology(Natural Sciences Edition)》 2010-04
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A new method on remote sensing decision tree classification based on rough set

LIU Feng,etc.(Center of Business Support,China Mobile Group Jilin Limited Co.,Changchun,130022,China)  
Land cover information has been identified as the crucial data for land planning and management,which has important economic value.In order to obtain land cover information,utilizing computer simulation technology to automatically classify the remote sensing images is a very effective measure.However,remote sensing image's uncertainty,inconsistency may lead to the over-fitting phenomenon and increase the difficulty of classification.This paper proposed a new method of remote sensing decision tree based on rough set.Simulation results show that this method can reduce over-fitting phenomenon and improve the classification accuracy than CART tree and ID3 tree method.
【Fund】: 吉林省科技厅青年基金项目(20090120)和(20100190)
【CateGory Index】: TP751
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【Citations】
Chinese Journal Full-text Database 1 Hits
1 WANG Shuliang 1 LI Deren 2 SHI Wenzhong 2 WANG Xinzhou 3 (1 National Laboratory for Information Engineering in Surveying,Mapping and Remote Sensing, Wuhan University,129 Luoyu Road,Wuhan,China,430079) (2 Department of Land Surveying & Geo_Info;Theory and Application of Geo-rough Space[J];Editoral Board of Geomatics and Information Science of Wuhan University;2002-03
【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 GAO Zhenji 1,2,WU Lun 3 1School of Earth and Space Sciences,Peking University,Beijing 100871;2The Key Laboratory for Environmental and Urban Sciences,Shenzhen Graduate School,Peking University,Shenzhen 518055;3Institute of Remote Sensing and Geographical Information System,Peking University,Beijing 100871;Representaion of Topological Relations between Vague Objects Based on Rough and RCC Model[J];Acta Scientiarum Naturalium Universitatis Pekinensis;2007-04
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3 HU Sheng-wu,PAN Zheng-feng,WANG Xin-zhou,TAO Ben-zao(School of Geodesy and Geomatics,Wuhan University,Wuhan,China,430072);Synthesis evaluation on GIS quality based on multilevel fuzzy synthesis judgment[J];Science of Surveying and Mapping;2004-05
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