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《Science of Surveying and Mapping》 2009-03
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Study on extracting of soil salinization by remote sensing based on SVM method with spectrum and texture information

ZHANG Fei①②③,Tashpolat.Tiyip①②,DING Jian-li①②,TIAN Yuan①②,Ilyas.Nurmuhammat①②①College of Resources and Environment Science,Xinjiang University Urumqi,Xinjiang 830046,China;②Key Laboratory of Oasis Ecology,Xinjiang University Urumqi,Xinjiang 830046,China;③Graduate school of Xinjiang University with Academic Degrees Committee,Urumqi 830046,China)  
In this paper,in order to overcome the different thing with same spectrum and the same thing with different spectrum phenomenon,taking the Delta Oasis of Weigan and Kuqa rivers for example,using ETM+ data,the method of extracting of soil salinization is discussed.The classification method based on support vector machine(SVM) and combination of spectrum and texture information is proposed.The classification result is compared with minimum distance classification,maximum likelihood classification and single data source(spectrum) SVM classification qualitatively and quantitatively.The research result shows that this method can effectively solve the problem of low accuracy and fracture classification result in single data source classification,it has high spread ability toward higher array input.Therefore,this method is adapted to RS image classification and monitoring of soil salinization,furthermore,provides an efficient way for remote sensing information extraction.
【Fund】: 自治区高校科研计划项目(编号:XJEDU2004I06 XJEDU2005I07);; 教育厅创新研究群体基金项目(编号:XJEDU2004G04);; 新疆绿洲重点实验室开放课题(XJDX0201-2007-01 03);; 新疆大学青年教师科研启动基金(QN070122);; 新疆大学博士启动基金(BS050108)
【CateGory Index】: TP79
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