Paper
19 November 2014 Evaluation of nonlinear calibration on the satellite TIR image applications
Feng Lu, Xiaohu Zhang, Xiao Wu, Peng Cui, Na Xu
Author Affiliations +
Abstract
Using Global Space-based Inter-Calibration System (GSICS), the thermal infrared (TIR) channel was calibrated with high precision. During this procedure, a new calibration table was made, and the sensor non-linear effect was corrected. During the TIR channel image remapping and Level2 (L2) dataset generation procedure, the bilinear interpolation was widely used. Most of the L2 data was stored in D/N count with corresponding calibration table, which assumes D/N count is linear. But in the real world, the non-linear D/N count which comes from imprecise modeled A/D transformation of instrument sensor, will lead to the temperature bias on L2 dataset, even though the high precision calibration Look up Table (LUT) was regenerated. In this paper, D/N bias comes from the mapping process was diagnosed, with the consideration of the temperature difference between neighbor pixels.
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Feng Lu, Xiaohu Zhang, Xiao Wu, Peng Cui, and Na Xu "Evaluation of nonlinear calibration on the satellite TIR image applications", Proc. SPIE 9264, Earth Observing Missions and Sensors: Development, Implementation, and Characterization III, 926413 (19 November 2014); https://doi.org/10.1117/12.2069038
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KEYWORDS
Calibration

Satellites

Meteorological satellites

Infrared radiation

Thermography

Satellite imaging

Sensors

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