Study on optimization of atmospheric correction process based on 6S radiative transfer model

Han Li; Yueting Chen; Huajun Feng; Zhihai Xu; Qi Li

doi:10.1117/12.2601111

24 November 2021 Study on optimization of atmospheric correction process based on 6S radiative transfer model

Han Li, Yueting Chen, Huajun Feng, Zhihai Xu, Qi Li

Proceedings Volume 12069, AOPC 2021: Novel Technologies and Instruments for Astronomical Multi-Band Observations; 1206903 (2021) https://doi.org/10.1117/12.2601111
Event: Applied Optics and Photonics China 2021, 2021, Beijing, China

Abstract

6s(Second Simulation of the Satellite Signal in the Solar Spectrum) radiative transfer model is one of the atmospheric correction algorithms based on the atmospheric radiative transmission model. It is widely used because of its high correction accuracy. Meanwhile, it is criticized for the complexity of the parameters and the efficiency of the correction process. 6S model needs to establish a look-up table based on the geometric conditions and aerosol conditions which directly determines the accuracy of the atmospheric correction. This paper analyzes the limitations of traditional look-up table method and uses artificial intelligence algorithms such as the support vector regression(SVR) algorithm and the back propagation (BP) algorithm to instead the traditional look-up table method. The experiments’ results show that the output value and predictive value fit well. Both are better than the traditional linear interpolation performance results, and the BP algorithms performs better, which verifies the feasibility of BP neural network algorithms prediction model instead of linear interpolation method for table lookup. Finally, this paper takes Landsat-8 data as an example, uses the method proposed in this article to perform atmospheric correction, and compares the FLAASH model correction results. The visual performance results of the two are roughly the same.

Citation Download Citation

Han Li, Yueting Chen, Huajun Feng, Zhihai Xu, and Qi Li "Study on optimization of atmospheric correction process based on 6S radiative transfer model", Proc. SPIE 12069, AOPC 2021: Novel Technologies and Instruments for Astronomical Multi-Band Observations, 1206903 (24 November 2021); https://doi.org/10.1117/12.2601111

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KEYWORDS

Atmospheric modeling

Atmospheric corrections

Aerosols

Evolutionary algorithms

Satellites

Atmospheric particles

Radiative transfer

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