Three-dimensional model of cloud layers based on all-sky polarization imaging data

Ying Liu; Yukun Long; Yu Cao; Wenhao Liu; Wunan Li

doi:10.1117/12.2664407

4 April 2023 Three-dimensional model of cloud layers based on all-sky polarization imaging data

Ying Liu, Yukun Long, Yu Cao, Wenhao Liu, Wunan Li

Proceedings Volume 12617, Ninth Symposium on Novel Photoelectronic Detection Technology and Applications; 126171K (2023) https://doi.org/10.1117/12.2664407
Event: 9th Symposium on Novel Photoelectronic Detection Technology and Applications (NDTA 2022), 2022, Hefei, China

Abstract

The temperature and energy balance of the earth are impacted by the effect of clouds on radiation transmission through the atmosphere. Therefore, the three-dimensional (3-D) reconstruction of clouds has received extensive attention for the estimation of solar energy, radiation transmission, and climate forecasting. The current methods of three-dimensional cloud reconstruction mainly rely on satellites or aircraft with detection limitations and high costs. In contrast, ground-based platforms are becoming more desirable due to simplicity and persistence. However, ground-based platforms have blooming effects caused by the sun. In this paper, we proposed and investigated a novel approach to reconstruct a three-dimensional cloud structure using all-sky polarization imaging data obtained from a ground-based polarizing imaging platform. In the core algorithm, we used the “normalized polarization degree difference index” (NPDDI) to achieve cloud optical thickness (COT) recognition that identified the difference in the degree of polarization (DoP) between the cloudy sky and cl ear sky radiation. Then, the three-dimensional structure of clouds based on different DoPs could be obtained by scanning the COTs accordingly. Our experimental results showed that benefiting from the inherent advantages of polarization, this method showed a good performance of precision and efficiency and displayed potential applications in complex meteorological conditions (fog, haze, etc.). The reconstruction results show different surfaces corresponding to different cloud patterns. Meanwhile, the dynamic range of the system was improved by merging the overexposure and underexposure frames into a complete high dynamic result.

Citation Download Citation

Ying Liu, Yukun Long, Yu Cao, Wenhao Liu, and Wunan Li "Three-dimensional model of cloud layers based on all-sky polarization imaging data", Proc. SPIE 12617, Ninth Symposium on Novel Photoelectronic Detection Technology and Applications, 126171K (4 April 2023); https://doi.org/10.1117/12.2664407

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KEYWORDS

Clouds

Polarization

Sun

3D modeling

Cameras

Image fusion

High dynamic range imaging

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