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Using Adaptive Dynamic Surfaces For Shape Reconstruction of Perfect Electric Conductors of Arbitrary Shape

机译:采用自适应动态表面进行任意形状的完美电导体形状重构

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In this paper, a shape reconstruction method for electromagnetic tomography based on contour deformations exploiting level set method is proposed. The algorithm is able to reconstruct the shape of multiple perfect conducting objects in two-dimensions. Incident waves are assumed to be TM (Transverse Magnetic) plane waves. The fast marching method is used in reinitialization process which has drastically improved the velocity of the reconstruction. The numerical results clearly shows that this inversion algorithm provides accurate reconstructions of objects from initial guess.
机译:本文提出了一种基于轮廓变形的电磁断层扫描的形状重构方法,提出了利用水平集法。该算法能够在二维中重建多个完美导电物体的形状。入射波被认为是TM(横向磁)平面波。快速行进方法用于重新初始化过程,这急剧提高了重建的速度。数值结果清楚地表明,这种反演算法从初始猜测提供了对象的准确性重建。

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