Author(s)

Yu Wei¹, Xicun Zhu^1,2*, Cheng Li¹, Xiaoyan Guo¹, Xinyang Yu¹, Chunyan Chang¹, Houxing Sun³

¹College of Resources and Environment, Shandong Agricultural University, Tai’an, China.
²Key Laboratory of Agricultural Ecology and Environment, Shandong Agricultural University, Tai’an, China.
³Bureau of Fruit Industry Development of Qixia County, Qixia, China.

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, Ground Object Identification and Classification, Statistical Model, Spectral Matching

Wei, Y. , Zhu, X. , Li, C. , Guo, X. , Yu, X. , Chang, C. and Sun, H. (2017) Applications of Hyperspectral Remote Sensing in Ground Object Identification and Classification. Advances in Remote Sensing, 6, 201-211. doi: 10.4236/ars.2017.63015.