高光谱遥感技术及资源勘查应用进展

李志忠; 汪大明; 刘德长; 刘银年; 赵慧洁; 党福星

doi:10.3799/dqkx.2015.108

Volume 40 Issue 8

Aug. 2015

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Article Navigation > Earth Science > 2015 > 40(8): 1287-1294

Li Zhizhong, Wang Daming, Liu Dechang, Liu Yinnian, Zhao Huijie, Dang Fuxing, 2015. Hyperspectral Remote Sensing Technology and Its Progress in Resources Exploration. Earth Science, 40(8): 1287-1294. doi: 10.3799/dqkx.2015.108

Citation:

Li Zhizhong, Wang Daming, Liu Dechang, Liu Yinnian, Zhao Huijie, Dang Fuxing, 2015. Hyperspectral Remote Sensing Technology and Its Progress in Resources Exploration. Earth Science, 40(8): 1287-1294. doi: 10.3799/dqkx.2015.108

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Hyperspectral Remote Sensing Technology and Its Progress in Resources Exploration

doi: 10.3799/dqkx.2015.108

1.
Oil & Gas Survey, China Geological Survey, Beijing 100029, China
2.
CNNC Beijing Research Institute of Uranium Geology, Beijing 100029, China
3.
Shanghai Institute of Technical Physics, CAS, Shanghai 200083, China
4.
School of Instrument Science and Opte-electronics Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China
5.
China Aero Geophysical Survey and Remote Sensing Center of Land and Resources, Beijing 100083, China

Received Date: 2015-05-02
Publish Date: 2015-08-01

Abstract

Abstract

Hyperspectral remote sensing technology obtains hundreds of narrow spectral bands in the visible, near-infrared, mid-infrared and far-infrared bands and contains a wealth of space, radiation and spectral information. Much materials can be identified that are not recognized in multispectral data. The recent advances in broad width hyperspectral imager, space-borne hyperspectral data digital simulation, calibration and processing and typical applications in the investigation of mineral and oil-gas resources are introduced in the paper. In additon, the information system of hyperspectral data acquisition, storage, management, typical geological application and distribution is established, which shall be of great significance to the application of hyperspectral remote sensing data to the investigation of mineral and energy resources.
- hyperspectral imager,
- hyperspectral data processing,
- spectral service,
- remote sensing,
- application in resources investigation

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References(36)

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