首页> 外文期刊>Inverse problems and imaging >ANALYSIS OF THE HESSIAN FOR INVERSE SCATTERING PROBLEMS. PART III: INVERSE MEDIUM SCATTERING OF ELECTROMAGNETIC WAVES IN THREE DIMENSIONS
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ANALYSIS OF THE HESSIAN FOR INVERSE SCATTERING PROBLEMS. PART III: INVERSE MEDIUM SCATTERING OF ELECTROMAGNETIC WAVES IN THREE DIMENSIONS

机译:逆向散射问题的Hessian分析。第三部分:电磁波的三维逆散射

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摘要

Continuing our previous work [6, Inverse Problems, 2012, 28, 055002] and [5, Inverse Problems, 2012, 28, 055001], we address the ill-posedness of the inverse scattering problem of electromagnetic waves due to an inhomogeneous medium by studying the Hessian of the data misfit. We derive and analyze the Hessian in both H?lder and Sobolev spaces. Using an integral equation approach based on Newton potential theory and compact embeddings in Holder and Sobolev spaces, we show that the Hessian can be decomposed into three components, all of which are shown to be compact operators. The implication of the compactness of the Hessian is that for small data noise and model error, the discrete Hessian can be approximated by a low-rank matrix. This in turn enables fast solution of an appropriately regularized inverse problem, as well as Gaussian-based quantification of uncertainty in the estimated inhomogeneity.
机译:继续我们先前的工作[6,Inverse Problems,2012,28,055002]和[5,Inverse Problems,2012,28,055001],我们通过以下方法解决了由于不均匀介质而引起的电磁波逆散射问题的不适定性:研究数据不匹配的Hessian。我们推导并分析了Hder和Sobolev空间中的Hessian。使用基于牛顿势理论的积分方程方法以及Holder和Sobolev空间中的紧致嵌入,我们证明了Hessian可以分解为三个分量,所有这些分量都被证明是紧致算子。 Hessian紧凑性的含义是,对于较小的数据噪声和模型误差,可以通过低秩矩阵来近似离散的Hessian。反过来,这使得可以快速解决适当正则化的逆问题,并且可以对估计的不均匀性进行基于高斯的不确定性量化。

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