Title
In-Flight Spectral Response Function Retrieval of a Multispectral Radiometer Based on the Functional Data Analysis Technique
Abstract
The spectral response function (SRF) is a crucial parameter in multispectral radiometers, and it influences the radiometric calibration accuracy and quantitative application capabilities. The in-flight SRF often has errors due to prelaunch contamination or postlaunch degradation. This study proposes an innovative new method to retrieve SRFs of multispectral radiometers based on intercomparisons with hyperspectral sounders via the functional data analysis (FDA) technique. Under the FDA framework, all variables, including the hyperspectral radiance and SRF, are regarded as functions rather than discrete data by expanding in the Fourier functional basis. The forward convolution equation is processed directly into a functional integration model rather than a normally pointwise summation; this ensures that the unknown quantities are transformed from numerous SRF samples to several function parameters, thus avoiding the ill-posed problem. The proposed algorithm is verified with both simulated and real data from multiple thermal infrared bands of the FY-3 IRAS and FY-4 AGRI using collocations with METOP-B IASI. All these results demonstrate our algorithm's qualitative and quantitative effectiveness for infrared SRF retrieval. Although the demonstrations are particularly relevant to infrared spectra, the algorithm is universal and also applicable to other spectral bands.
Year
DOI
Venue
2022
10.1109/TGRS.2021.3073097
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
Keywords
DocType
Volume
Radiometry, Calibration, Hyperspectral imaging, Mathematical model, Contamination, Satellite broadcasting, Data analysis, Functional data analysis (FDA), intercalibration, multispectral radiometers, retrieval, spectral calibration, spectral response function (SRF)
Journal
60
ISSN
Citations 
PageRank 
0196-2892
0
0.34
References 
Authors
0
10
Name
Order
Citations
PageRank
Na Xu100.34
Wu Peng26724.15
Gang Ma300.34
Qirui Hu400.34
Xiuqing Hu500.34
Ronghua Wu600.34
Yunfeng Wang700.34
Hanlie Xu801.35
Lin Chen900.34
Peng Zhang106817.27