| Citation: | WANG Y，MENG B H，YE C，et al. Comparison and evaluation of data correction methods for directional polarimetric cameras[J]. Journal of Beijing University of Aeronautics and Astronautics，2025，51（10）：3307-3312 （in Chinese） doi: 10.13700/j.bh.1001-5965.2023.0527
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The data correction process of a directional polarimetric camera (DPC) primarily includes two components: background correction and frame transfer effect correction. The image acquisition process of the photodetector is a random sampling procedure, and mathematical processing methods are applied to the sampling results during data correction, which introduces noise. This paper mainly discussed the influence of dark background correction and frame transfer effect correction on the signal-to-noise ratio (SNR) during DPC data processing. Modeling and simulation of the SNR for two frame transfer effect correction methods were conducted. Validation was performed using actual data from the DPC onboard an atmospheric monitoring satellite. The results demonstrate that both background correction and frame transfer effect correction increase noise, thus reducing the SNR. Background correction should involve more than five background data sets. Compared to the two frame transfer effect correction methods, the sum of column ratio method outperforms the dark row method, achieving a maximum increase in SNR of 15.8.
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