文献类型：期刊文献

英文题名：A classifier-combined method based on D-S evidence theory for the land cover classification of the Tibetan Plateau

作者：Hao, Shuang[1] Chen, Yongfu[2] Hu, Bo[2] Cui, Yuhuan[1]

第一作者：Hao, Shuang

通信作者：Hao, S[1];Chen, YF[2]

机构：[1]Anhui Agr Univ, Sch Nat Sci, Hefei 200036, Peoples R China;[2]Chinese Acad Forestry, Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China

年份：2021

卷号：5

期号：1

起止页码：16152-16164

外文期刊名：APL BIOENGINEERING

收录：;EI(收录号：20242616372074);Scopus(收录号：2-s2.0-85096756102);WOS:【SCI-EXPANDED(收录号:WOS:000594663400004)，ESCI(收录号:WOS:000630133600037)】；

基金：This study was supported by the National Natural Science Foundation of China, under grant number 41801332.

语种：英文

外文关键词：Tibetan Plateau; High altitude; Evidence theory; Landsat OLI; Land cover

摘要：The Tibetan Plateau (TP) is a region with high altitudes and complicated terrain conditions. Due to the special conditions of this region, it is also regarded as the third pole of the Earth. The land cover and vegetation in this region have not been extensively studied, so this study investigated the possibility of using a combined classifier that was established based on D-S evidence theory to extract the land cover of the TP. Multiple feature images were obtained based on a single classification rule, and the feature images were normalized to obtain the basic probability assignment (BPA). The BPA was used as the evidence source to represent the belief level of each type of land cover. The information for the different belief levels was combined based on the D-S evidence theory. The maximum belief level of the combination results was used to identify the land cover types on the TP. The results of this study indicate that based on the D-S evidence theory, multiple classifiers can effectively be combined to improve the classification results. This study has also revealed that more classifiers fused together to make a combined classifier did not result in the combined classifier's accuracy being higher than those of the original classifiers. Higher accuracies were only obtained when more high accuracy evidence theory was used in the classifier combination, in which case, the combined classifier's classification accuracy was also high.