A study of dense medium effect using a simple backscattering model

H. Ewe, H. Chuah
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引用次数: 4

Abstract

In an electrically dense medium, when the spacing between the scatterers is comparable to the wavelength, it is important to incorporate the near field effect, both amplitude and phase, into the backscattering theory. In this paper, a simple backscatter theory based on radiative transfer (RT) theory is presented. The random medium, bounded on top and bottom by a rough surface, contains a layer of randomly distributed spherical scatterers. The phase matrix for these closely packed discrete scatterers is obtained using the dense medium phase and amplitude correction theory (DM-PACT) and the rough surface is characterized by the IEM model. The integro-differential equations of radiative transfer theory are solved iteratively up to second order solutions. Scattering terms for direct surface, direct volume, surface-volume and volume-volume interactions are identified. These results are compared with full model solutions using the matrix doubling method.
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用简单后向散射模型研究致密介质效应
在电密集的介质中,当散射体之间的间距与波长相当时,将近场效应(振幅和相位)纳入后向散射理论是很重要的。本文提出了一种基于辐射传递理论的简单后向散射理论。随机介质的上下被粗糙的表面包围,包含一层随机分布的球形散射体。利用密集介质相位和振幅修正理论(DM-PACT)获得了这些紧密排列的离散散射体的相位矩阵,并用IEM模型对粗糙表面进行了表征。将辐射传递理论的积分微分方程迭代求解至二阶解。确定了直接表面、直接体积、表面-体积和体积-体积相互作用的散射项。这些结果与使用矩阵加倍法的全模型解进行了比较。
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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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