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Review of Methods and Remote Sensing Cases Using Spectral Library |
Juan Cheng1,2(),Qing Xiao1,2(),Jianguang Wen1,2,Yong Tang1,Dongqin You1,Zunjian Bian1,Dalei Hao1,2,Shouyi Zhong1,2 |
1.State Key Laboratory of Remote Sensing, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China 2.University of Chinese Academy of Sciences, Beijing 100049, China |
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Abstract Ground object spectral libraries play a significant role in remote sensing information extraction. This paper investigates the domestic and foreign spectral libraries frequently-used, including the general spectral libraries and the professional spectral libraries. Based on the biliometric analysis of the literatures about remote sensing applications based on spectral libraries, four kinds of methods are summarized, including spectral feature analysis, spectral matching, spectral mixture analysis and quantitative remote sensing modeling. Some remote sensing applications based on spectral libraries, such as ground object classification, target identification and land surface parameters inversion, are also summarized. From the background of remote sensing big data, the developing trends and application potential of the ground object spectral library are prospected at the end.
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Received: 27 December 2018
Published: 10 July 2020
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Corresponding Authors:
Qing Xiao
E-mail: chengjuan@radi.ac.cn;xiaoqing@radi.ac.cn
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