Applications of Hyperspectral Remote Sensing in Ground Object Identification and Classification

نویسندگان

  • Yu Wei
  • Xicun Zhu
  • Cheng Li
  • Xiaoyan Guo
  • Xinyang Yu
  • Chunyan Chang
  • Houxing Sun
چکیده

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.

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تاریخ انتشار 2017