Data processing and application of thermal infrared hyperspectral remote sensing

被引：0

作者：

Xie, Feng ^{[1
]}

Yang, Gui ^{[1
]}

Liu, Chengyu ^{[1
]}

Liu, Zhihui ^{[1
]}

Zhang, Changxing ^{[1
]}

Shao, Honglan ^{[1
]}

Wang, Jianyu ^{[1
]}

Cai, Nengbin ^{[2
]}

机构：

[1] Chinese Acad Sci, Shanghai Inst Tech Phys, Key Lab Space Act Optoelect Technol, Shanghai 200083, Peoples R China

[2] Shanghai Publ Secur Bur, Inst Forens Sci, Shanghai Key Lab Criminal Scene Evidence, Shanghai 200083, Peoples R China

来源：

MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL REMOTE SENSING TECHNOLOGY, TECHNIQUES AND APPLICATIONS VI | 2016年 / 9880卷

关键词：

Thermal infrared hyperspectral remote sensing; heterogeneity; moment matching method; field radiometric calibration; FOCAL-PLANE ARRAYS; NONUNIFORMITY CORRECTION; SENSOR;

D O I：

10.1117/12.2228210

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

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.

引用

页数：11

共 17 条

[1] Destriping multisensor imagery with moment matching [J].