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《Science of Surveying and Mapping》 2009-01
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Remote sensing monitoring of soil salinization based on fusion and classification of Radarsat and TM image

Ilyas.Nurmuhammat①②,Tashpolat.Tiyip①②,SHU Ning③,WANG Bo-chao①②,Mamatsawut①②(① College of Resources and Environment Science,Xinjiang University,Urumqi 830046,China;② Key Leborotory of Oasis Ecology,Xinjiang University,Urumqi 830046,China;③ School of Remote Sensing and Information Engineering,Wuhan University,Wuhan 430079,China)  
Usually it is hard to achieve enough information for monitoring the salinization information of arid area by using sole Radar image.The fusion of Radar and TM image could improve the utilization of remote sensing information,enhance the reliability and mutual-complementing of information,and be helpful for improving classification accuracy.This paper adopted Gram-Schmidt fusion,carried on fusion of Radarsat and TM images,and then compared this fusion method with some other common methods such as HIS,PCA and Brovey.The result indicated that this method was superior to others.Furthermore,in this paper Support Vector Machine(SVM) classification method was accepted,then Radarsat,TM and the fusion image were classified.It can be inferred from the result that,in comparison with the solely Radarsat image or the TM image,the fusion image had higher classification accuracy.It had as much as 30% and 2% accuracy than those of single Radarsat and TM images respectively.Therefore this fusion and classification method could be more applicable for monitoring of arid area salinization by remote sensing images.
【Fund】: 国家自然科学基金项目(编号:40261006);; 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)
【CateGory Index】: TP751
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