Advances in Remote Sensing

Vol.6 No.3(2017), Paper ID 79085, 12 pages

DOI:10.4236/ars.2017.63015

 

Applications of Hyperspectral Remote Sensing in Ground Object Identification and Classification

 

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

 

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

 

Copyright © 2017 Yu Wei, Xicun Zhu, Cheng Li, Xiaoyan Guo, Xinyang Yu, Chunyan Chang, Houxing Sun et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

 

How to Cite this Article


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.

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