Simulating skylight polarization patterns using the backward Markov Chain Monte Carlo method

IF 1.9 4区 物理与天体物理 Q2 ASTRONOMY & ASTROPHYSICS
Shuai Li , Rui Wang , Jiuming Cheng , Congming Dai , Wenqing Xu , Heli Wei , Jie Zhan
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引用次数: 0

Abstract

Skylight polarization patterns provide valuable information for atmospheric measurements, polarized remote sensing and navigation applications. However, efficiently and accurately modeling polarized radiative transfer in atmospheric scattering remains challenging. We propose a backward Markov chain Monte Carlo (B-MCMC) method to simulate skylight polarization patterns by constructing a Markov chain in parameter space to track photons from the sensor to the top-of-atmosphere (TOA). The results show that the B-MCMC model significantly improves the computational efficiency by a factor of 8-10 while retaining the computational accuracy compared with Monte Carlo simulations. The experiments show that in cloudy skies, the skylight polarization pattern is generally weakened, in the field of skylight polarization detection and application, long wavelengths should be used in clear weather and blue-violet light should be used in cloudy weather, which corresponds to a larger degree of polarization (DOP) and facilitates the acquisition of polarization information. Finally, the aerosol optical depth (AOD) has an important effect on the skylight polarization, as the AOD increases, the DOP decreases, and the decreasing trend will be more and more obvious, when the AOD is above 0.3, the maximum DOP will not exceed 0.5, which is verified by the division of focal plane (DOFP) polarization measurement device.

使用后向马尔可夫链蒙特卡洛法模拟天窗偏振模式
天光偏振模式为大气测量、偏振遥感和导航应用提供了宝贵的信息。然而,高效、准确地模拟大气散射中的偏振辐射传递仍然具有挑战性。我们提出了一种后向马尔可夫链蒙特卡洛(B-MCMC)方法,通过在参数空间构建马尔可夫链来跟踪从传感器到大气顶部(TOA)的光子,从而模拟天窗偏振模式。结果表明,与蒙特卡罗模拟相比,B-MCMC 模型在保持计算精度的同时,将计算效率显著提高了 8-10 倍。实验表明,在多云的天空中,天光偏振模式一般会减弱,在天光偏振探测和应用领域,晴朗天气应使用长波长光,多云天气应使用蓝紫色光,这相当于更大的偏振度(DOP),有利于偏振信息的获取。最后,气溶胶光学深度(AOD)对天光偏振有重要影响,随着 AOD 的增大,DOP 会减小,而且减小的趋势会越来越明显,当 AOD 在 0.3 以上时,最大 DOP 不会超过 0.5,这一点可以通过分焦平面(DOFP)偏振测量装置得到验证。
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来源期刊
Astronomy and Computing
Astronomy and Computing ASTRONOMY & ASTROPHYSICSCOMPUTER SCIENCE,-COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
CiteScore
4.10
自引率
8.00%
发文量
67
期刊介绍: Astronomy and Computing is a peer-reviewed journal that focuses on the broad area between astronomy, computer science and information technology. The journal aims to publish the work of scientists and (software) engineers in all aspects of astronomical computing, including the collection, analysis, reduction, visualisation, preservation and dissemination of data, and the development of astronomical software and simulations. The journal covers applications for academic computer science techniques to astronomy, as well as novel applications of information technologies within astronomy.
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