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作 者:Yu Wei Xicun Zhu Cheng Li Xiaoyan Guo Xinyang Yu Chunyan Chang Houxing Sun
机构地区:[1]College of Resources and Environment, Shandong Agricultural University, Tai’an, China [2]Key Laboratory of Agricultural Ecology and Environment, Shandong Agricultural University, Tai’an, China [3]Bureau of Fruit Industry Development of Qixia County, Qixia, China
出 处:《Advances in Remote Sensing》2017年第3期201-211,共11页遥感技术进展(英文)
摘 要:Hyperspectral remote sensing has become one of the research frontiers in ground object identification and classification. On the basis of reviewing the application of hyperspectral remote sensing in identification and classification of ground objects at home and abroad. The research results of identification and classification of forest tree species, grassland and urban land features were summarized. Then the researches of classification methods were summarized. Finally the prospects of hyperspectral remote sensing in ground object identification and classification were prospected.Hyperspectral remote sensing has become one of the research frontiers in ground object identification and classification. On the basis of reviewing the application of hyperspectral remote sensing in identification and classification of ground objects at home and abroad. The research results of identification and classification of forest tree species, grassland and urban land features were summarized. Then the researches of classification methods were summarized. Finally the prospects of hyperspectral remote sensing in ground object identification and classification were prospected.
关 键 词:HYPERSPECTRAL REMOTE Sensing GROUND OBJECT Identification and Classification STATISTICAL Model Spectral MATCHING
分 类 号:TP39[自动化与计算机技术—计算机应用技术]
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