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《Journal of Anhui Normal University(Natural Science)》 2013-01
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Urban Impervious Surface Percentage Extracted in Hefei Based on Remote Sensing

XIANG Hong-liang1,2,LV Cheng-wen1,2,LIU Xiao-zhou1,2,ZHU Feng-xia1,2(1.College of Territorial Resources and Tourism,Anhui Normal University,Wuhu 241000,China;2.Engineering Technology Research Center of Resources Environment and GIS,Anhui Province,Wuhu 241000,China)  
Extracting impervious surface percentage using remote sensing technology is very important for monitoring urban environment and urban planning.A study was conducted to extract impervious surface percentage of Hefei based on TM image data of 30 July 2006 using the method of combining the support vector machine(SVM) to supervision classification and linear spectral mixture model(LSMM).The extraction result was tested and compared with linear spectral mixture model method.The results of the study show that: the RMSE value of method of combining the support vector machine to supervision classification and linear spectral mixture model is 12.8%.The combined method was superior to the method of linear spectral mixture model,and the combined method improved the accuracy of extraction of urban impervious surface percentage.
【Fund】: 资源环境与地理信息工程安徽省工程技术研究中心资助
【CateGory Index】: TP79;P90;TP18
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