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《Geomatics & Spatial Information Technology》 2017-11
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Research the Impacts of Classification Accuracy after Orthorectification with Different Grid Density DSM/DEM

LIU Xiao-hong;LEI Bing;TAN Hai;GUO Jian-hua;School of Geomatics,Liaoning Technical University;Satellite Surveying and Mapping Application Center of NASMG;  
DSM/DEM elevation data are used as assistant data to eliminate or limit deformation of terrain in orthorectification without control points. However,the grid density of DSM/DEM has different effect on subsequent processing,such as image classification.Based on this problem,we apply China DSM 15 m DSM,ASTER GDEM 30 m DEM and SRTM 90 m DEM to do orthorectification on ZY-3 image. Then,classifying the orthorectified image by support vector machines( SVM),and comparing the classification accuracy. It is shown that the classification accuracy after China DSM 15 m DSM orthorectificated,with the same resample method,is better than ASTER GDEM 30 m DEM and SRTM 90 m DEM.
【Fund】: 典型地形要素自动识别与快速提取技术(2016YFB0501403)资助
【CateGory Index】: P208
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