Inverse Profiling via an Effective Linearized Scattering Model and MRF Regularization

Autieri R.; DUrso M.; Isernia T.; Pascazio V.

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Inverse Profiling via an Effective Linearized Scattering Model and MRF Regularization

机译：通过有效的线性散射模型和MRF正则化进行逆分析

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摘要

The aim of this letter is to show how a joint adoption of a suitable regularization scheme and a proper rewriting of the traditional electromagnetic scattering equation allows introducing an interesting linear inversion tool which allows achieving nice reconstructions in many cases of practical interest. In particular, an innovative inversion approach which takes definite advantage from the joint use of the Contrast Source-Extended Born model and a Markov-random-field-based regularization scheme is proposed. Numerical examples, confirming accuracy usefulness, are reported and discussed.

机译：这封信的目的是说明如何同时采用适当的正则化方案和正确重写传统电磁散射方程，才能引入有趣的线性反演工具，从而在许多实际应用中实现良好的重构。特别是，提出了一种创新的反演方法，该方法充分利用了对比源扩展Born模型和基于马尔可夫随机场的正则化方案的联合优势。数值实例证实了准确性的实用性，已被报道和讨论。

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《Geoscience and Remote Sensing Letters, IEEE》 |2011年第6期|p.1021-1025|共5页
作者
Autieri R.; DUrso M.; Isernia T.; Pascazio V.;
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作者单位

Dipartimento per le Tecnologie, Università degli Studi di Napoli Parthenope, Naples, Italy;

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正文语种 eng
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关键词
Contrast Source-Extended Born (CS-EB); Markov random fields (MRFs); inverse scattering; linear inversion;

机译：对比度源扩展玻恩（CS-EB）;马尔可夫随机场（MRF）;逆散射;线性反演;

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1. Inverse problem of groundwater modeling by iteratively regularized GaussNewton method with a nonlinear regularization term [J] . Smirnova A., Tuncer N. Nonlinear Analysis: An International Multidisciplinary Journal . 2011,第17期

机译：带有非线性正则项的迭代正则GaussNewton方法对地下水建模的反问题
2. A novel effective model for solving 3-D nonlinear inverse scattering problems in lossy scenarios [J] . Catapano I., Crocco L., DUrso M., IEEE Geoscience and Remote Sensing Letters . 2006,第3期

机译：解决有损情况下的3-D非线性逆散射问题的有效模型
3. Non-Linear Inverse Scattering via Sparsity Regularized Contrast Source Inversion [J] . Martina Teresa Bevacqua, Lorenzo Crocco, Loreto Di Donato, Computational Imaging, IEEE Transactions on . 2017,第2期

机译：通过稀疏正则化对比度源反演的非线性反散射
4. A novel effective model for solving 3D non-linear inverse scattering problems in a homogeneous background [C] . Catapano, I., DUrso, . 2005

机译：解决均质背景下3D非线性逆散射问题的有效模型
5. A Spectrum-based Regularization Approach to Linear Inverse Problems: Models, Learned Parameters and Algorithms [D] . Castanon, Jorge Castanon Alberto. 2015

机译：基于频谱的线性反问题正则化方法：模型，学习参数和算法
6. A Sparsity Regularization Approach to the Electromagnetic Inverse Scattering Problem [O] . David W. Winters, Barry D. Van Veen, Susan C. Hagness -1

机译：电磁逆散射问题的稀疏正规方法
7. Non-linear Tikhonov regularization in Banach spaces for inverse scattering from anisotropic penetrable media [O] . Armin Lechleiter, Marcel Rennoch 2017

机译：Banach空间中的非线性Tikhonov正规，各向异性可渗透介质的逆散射
8. Nonlinear Inverse Scattering Applied to Calculation of the Effective Permittivity of Random Collections of Scatterers [R] . Moghaddam, M., Houshmand, B. 1994

机译：非线性逆散射计算散射体随机集合的有效介电常数

Inverse Profiling via an Effective Linearized Scattering Model and MRF Regularization

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