Land cover classification with multi-source data using evidential reasoning approach |
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| Authors: | Huapeng Li Shuqing Zhang Yan Sun Jing Gao |
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| Affiliation: | LI Huapeng1,2,ZHANG Shuqing1,SUN Yan1,GAO Jing3 (1. Northeast Institute of Geography and Agroecology,Chinese Academy of Sciences,Changchun 130012,China,2. Graduate University of Chinese Academy of Sciences,Beijing 100049,3. School of Computer and Information Science,University of South Australia,Adelaide 5095,Australia) |
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| Abstract: | Land cover classification is the core of converting satellite imagery to available geographic data.However,spectral signatures do not always provide enough information in classification decisions.Thus,the application of multi-source data becomes necessary.This paper presents an evidential reasoning (ER) approach to incorporate Landsat TM imagery,altitude and slope data.Results show that multi-source data contribute to the classification accuracy achieved by the ER method,whereas play a negative role to that... |
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| Keywords: | evidential reasoning Dempster-Shafer theory of evidence multi-source data geographic ancillary data land cover classification classification uncertainty |
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