非球形粒子密集分布中电磁波散射的蒙特卡罗模拟

L. Tsang, K. Ding, S. Shih
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引用次数: 2

摘要

在密集、离散的随机介质中,波的传播和散射不仅受粒子的个体性质如大小、形状和介电常数的影响,而且受粒子的相对位置和相对方向统计量等群体性质的影响。在本文中,作者研究了电磁波与由随机或排列方向的球形粒子组成的致密介质的相互作用。提出了基于体积积分方程和矩量法的多次散射公式。一种洗牌过程被用于生成立方体盒子内密集排列的球体的位置。散射结果在许多实现中被平均。本文给出了消光率的数值结果,以说明非球形和球形粒子的极化散射特性和散射特性的差异。
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Monte Carlo simulations of scattering of electromagnetic waves from dense distributions of nonspherical particles
In a dense, discrete random medium, the propagation and scattering of waves are not only affected by the individual properties of the particles such as sizes, shapes and permittivities, but also by the group properties such as the statistics of relative particle positions and relative orientations. In this paper, the authors investigate the interactions of electromagnetic waves with a dense medium consisting of spheroidal particles with random or aligned orientations. A multiple scattering formulation based on the volume integral equation and method of moments is developed. A shuffling process is used to generate the positions of densely packed spheroids within a cubic box. The scattering results are averaged over many realizations. Numerical results are presented for the extinction rates to illustrate the polarimetric scattering properties and the differences of scattering properties between nonspherical and spherical particles.
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期刊介绍: Remote Sensing Information is a bimonthly academic journal supervised by the Ministry of Natural Resources of the People's Republic of China and sponsored by China Academy of Surveying and Mapping Science. Since its inception in 1986, it has been one of the authoritative journals in the field of remote sensing in China.In 2014, it was recognised as one of the first batch of national academic journals, and was awarded the honours of Core Journals of China Science Citation Database, Chinese Core Journals, and Core Journals of Science and Technology of China. The journal won the Excellence Award (First Prize) of the National Excellent Surveying, Mapping and Geographic Information Journal Award in 2011 and 2017 respectively. Remote Sensing Information is dedicated to reporting the cutting-edge theoretical and applied results of remote sensing science and technology, promoting academic exchanges at home and abroad, and promoting the application of remote sensing science and technology and industrial development. The journal adheres to the principles of openness, fairness and professionalism, abides by the anonymous review system of peer experts, and has good social credibility. The main columns include Review, Theoretical Research, Innovative Applications, Special Reports, International News, Famous Experts' Forum, Geographic National Condition Monitoring, etc., covering various fields such as surveying and mapping, forestry, agriculture, geology, meteorology, ocean, environment, national defence and so on. Remote Sensing Information aims to provide a high-level academic exchange platform for experts and scholars in the field of remote sensing at home and abroad, to enhance academic influence, and to play a role in promoting and supporting the protection of natural resources, green technology innovation, and the construction of ecological civilisation.
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