19 August 2016 Data processing and application of thermal infrared hyperspectral remote sensing
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Abstract
Accurate radiometric calibration for thermal infrared hyperspectral data is the precondition for further quantitative applications. A thermal infrared hyperspectral field calibration method which is based on non-uniformity repair had been proposed in this paper. Firstly correct global non-uniformity phenomenon caused by detector response difference, with moment matching algorithm; Secondly correct local non-uniformity phenomenon caused by the environment changes, with department moment matching algorithm; thirdly design an aviation experimental, use outfield target to calculate every band’s calibration coefficient. The thermal infrared hyperspectral field experiments show that this method can effectively eliminate the phenomenon of non-uniformity of thermal infrared hyperspectral images, and get high accuracy radiometric calibration results.
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Feng Xie, Feng Xie, Gui Yang, Gui Yang, Chengyu Liu, Chengyu Liu, Zhihui Liu, Zhihui Liu, Changxing Zhang, Changxing Zhang, Honglan Shao, Honglan Shao, Jianyu Wang, Jianyu Wang, Nengbin Cai, Nengbin Cai, } "Data processing and application of thermal infrared hyperspectral remote sensing", Proc. SPIE 9880, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications VI, 98802G (19 August 2016); doi: 10.1117/12.2228210; https://doi.org/10.1117/12.2228210
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