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Regularized Bi-Conjugate Gradient Algorithm for Tomographic Reconstruction of Buried Objects

机译:掩埋物体断层成像的正则双共轭梯度算法

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摘要

This paper deals with a quantitative inversion algorithm for reconstructing the permittivity and conductivity profiles of bounded inhomogeneous buried objects from measured multifrequency and multiincidence backscattered field data. An Edge-Preserving regularization scheme is applied leading to a sig- nificant enhancement in the profiles reconstructions. The appli- cations concern civil engineering and geophysics as well as mine detection and localization. The performance of the reconstruc- tions are illustrated with different synthetic data.
机译:本文研究了一种定量反演算法,该算法可从实测的多频和多入射反向散射场数据中重建有界非均匀掩埋物体的介电常数和电导率剖面。应用边缘保留正则化方案可显着增强轮廓重建。这些应用涉及土木工程和地球物理以及探雷和定位。用不同的合成数据说明了重构的性能。

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