Development and Application of Hyperspectral Remote Sensing

被引：2

作者：

Xing, Huimin ^{[1
,2
,3
,4
]}

Feng, Haikuan ^{[1
,2
,3
,4
]}

Fu, Jingying ^{[1
,2
,3
,4
]}

Xu, Xingang ^{[1
,2
,3
,4
]}

Yang, Guijun ^{[1
,2
,3
,4
]}

机构：

[1] Beijing Res Ctr Informat Technol Agr, Key Lab Quantitat Remote Sensing Agr, Minist Agr PR China, Beijing 100097, Peoples R China

[2] Natl Engn Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China

[3] Beijing Engn Res Ctr Agr Internet Things, Beijing 100097, Peoples R China

[4] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100083, Peoples R China

来源：

COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE XI, CCTA 2017, PT II | 2019年 / 546卷

基金：

中国国家自然科学基金; 北京市自然科学基金;

关键词：

Hyperspectral remote sensing; Airborne; Space borne; Hyperspectral sensors; Plant ecology surveying; WATER-QUALITY RETRIEVAL; SPECTROMETER; ALGORITHMS; CLASSIFICATION; SPECTROSCOPY; REFLECTANCE; PREDICTION; COVER;

D O I：

10.1007/978-3-030-06179-1_28

中图分类号：

S2 [农业工程];

学科分类号：

0828 ;

摘要：

Since the early 1960s, multispectral imagery has been served as the data source for earth observational remote sensing (RS) in the last thirty years; the advancement of sensor technology had made it accessible to colleting hundreds continues spectral bands-hyperspectral RS. Hyperspectral RS (HRS) is a new technique for observing the earth, which is different from the multi-spectral RS because of several hundreds of contiguous spectral bands. With a long history of development, HRS is widely used currently. This review details the development of HRS, data processing, characteristics, imaging mode of hyperspectral sensors and its applications, such as detecting and identifying the surface, monitoring agriculture and forest status, environmental studies, and military surveillance, etc.

引用

页码：271 / 282

页数：12

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