Progress in Hyperspectral Remote Sensing Science and Technology in China Over the Past Three Decades

被引:169
|
作者
Tong, Qingxi [1 ]
Xue, Yongqi [2 ]
Zhang, Lifu [1 ]
机构
[1] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China
[2] Chinese Acad Sci, Shanghai Inst Tech Phys, Shanghai 2000083, Peoples R China
基金
国家高技术研究发展计划(863计划); 中国国家自然科学基金;
关键词
Hyperspectral remote sensing; imaging spectrometry; remote sensing technology; remote sensing applications; GROSS PRIMARY PRODUCTION; NONNEGATIVE MATRIX FACTORIZATION; SPATIAL-SPECTRAL INFORMATION; ENDMEMBER EXTRACTION; RESOLUTION ENHANCEMENT; CHLOROPHYLL CONTENT; COMPONENT ANALYSIS; FEATURE-SELECTION; VEGETATION INDEX; BAND SELECTION;
D O I
10.1109/JSTARS.2013.2267204
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper reviews progress in hyperspectral remote sensing (HRS) in China, focusing on the past three decades. China has made great achievements since starting in this promising field in the early 1980s. A series of advanced hyperspectral imaging systems ranging from ground to airborne and satellite platforms have been designed, built, and operated. These include the field imaging spectrometer system (FISS), the Modular Airborne Imaging Spectrometer (MAIS), and the Chang'E-I Interferometer Spectrometer (IIM). In addition to developing sensors, Chinese scientists have proposed various novel image processing techniques. Applications of hyperspectral imaging in China have been also performed including mineral exploration in the Qilian Mountains and oil exploration in Xinjiang province. To promote the development of HRS, many generic and professional software tools have been developed. These tools such as the Hyperspectral Image Processing and Analysis System (HIPAS) incorporate a number of special algorithms and features designed to take advantage of the wealth of information contained in HRS data, allowing them to meet the demands of both common users and researchers in the scientific community.
引用
收藏
页码:70 / 91
页数:22
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