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《Journal of Shandong University of Science and Technology(Natural Science)》 2007-01
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Classification Study of Mountainous Land Cover Aided by Topographic Data

ZHANG Rui1,2,ZHANG Ji-xian2,LI Hai-tao2(1.College of Geo-info Sci.and Eng.,SUST,Qingdao,Shandong 266510,China;2.Chinese Academy of Surveying and Mapping,Beijing 100039,China)  
Classification of mountainous land cover often affected by the differences of topographic effect and height angle of sun,and it is difficult to achieve high accuracy of classification using spectral feature classifier.In the paper,such three topographic data sets as elevation,slope and roughness derived from DEM are used as auxiliary data of classification for mountainous land cover,the maximum likelihood classifier and multilayer feed forward network based on back propagation algorithm are employed to do classification experiments on multi-band images developed by superposition of spectral data and auxiliary topographic data.The result indicates that classification aided by topographic data can,in a certain extent,improve the accuracy.
【Fund】: 国家高技术研究发展计划(863计划)“规模化高效率土地资源遥感监测业务运行系统”(2003AA131010)资助
【CateGory Index】: TP79
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