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《Geospatial Information》 2012-01
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Application of Decision Tree Method in Remote Sensing Information Extraction

Firstly,classifier structure of decision tree and its theoretical basis was introduced.Secondly,classification was carried out for landuse types with the characteristics of remote sensing image in each band.Then,as a case study,the classification experiment was conducted over the area of Yubei in Chongqing.The specific process of implementing classification was demonstrated,and the results showed that the method was practical and feasible to make the classification of remote sensing image based on some training samples of interested area.
【Fund】: 国家863计划资助项目(2007AA120306)
【CateGory Index】: P237
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Chinese Journal Full-text Database 6 Hits
1 PAN Chen,DU Pei-jun,ZHANG Hai-rong(China University of Mining and Technology, Xuzhou 221008);Decision tree classification and its application in processing of remote sensing images[J];Science of Surveying and Mapping;2008-01
2 SHEN Jin-xiang1,2,CHEN Xi1,YANG Liao1,WANG Jie1,LI Bao-ming1(1 Xinjiang Institute of Ecology and Geography,Chinese Academy of Science,Urumqi 830011,Xinjiang,China;2 Graduate University of Chinese Academy of Sciences,Beijing 100049,China);Land use/land cover in Irtysh River-Zaysan Lake Basin over the past 20 years[J];Arid Land Geography;2010-02
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6 WANG Yuan-yuan,LI Jing(College of Resources Science,Beijing Normal University,Beijing 100875,China);Analysis of Feature Selection and Its Impact on Hyperspectral Data Classification Based on Decision Tree Algorithm[J];Journal of Remote Sensing;2007-01
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Chinese Journal Full-text Database 10 Hits
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