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A 3D GL EM Modeling and Inversion for Forest Exploration and Felling

机译:森林勘探与砍伐3D GL EM建模与反演

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In this paper, we proposed a 3D GL effectromagnetic (EM) modeling and inversion for the forest Exploration and Felling (GLEMFEF). We consider the inhomogeneous forest domain which is embedded in the earth and air two layered media. The forest domain includes inhomogeneous EM parameters. The EM field differential integral equation and integral equation are used to formulate the EM field in the forest domain. The inhomogeneous forest domain is divided into the several small sub domains. The forest EM parameter in the sub domain is isotropy or anisotropy variable. The Global field is updated by the Local EM scattering field in the sub domain. When the Global forest field propagates through the all sub domains, the GL forest EM field is obtained. The GL forest modeling is very fast to calculate EM field when the EM parameters are updated in the each sub domain. This merit accelerates the GL Metro Carlo inversion for the forest imaging. The 3D GL forest modeling and inversion can be useful for forest exploration, forest environment, animal, Chinese medical tree and grass, forest fire fighting, felling, and mine exploration in the ground under forest.
机译:在本文中,我们提出了森林勘探和砍伐(Glemfef)的3D GL功率磁性(EM)建模和反演。我们考虑嵌入在地球和空中两个分层介质中的不均匀森林领域。森林领域包括不均匀的EM参数。 EM场差分积分方程和积分方程用于在林域中制定EM场。不均匀的森林结构域分为几个小亚域。子域中的森林EM参数是各向同性的或各向异性变量。全局字段由子域中的本地EM散射字段更新。当全球林场传播通过所有子域,获得GL林EM场。当在每个子域中更新EM参数时,GL林建模非常快速地计算EM场。这一优势加速了森林成像的GL Metro Carlo反演。 3D GL森林建模和反演可用于森林勘探,森林环境,动物,中国医疗树和草,森林消防,砍伐以及森林地面上的矿山勘探。

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