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arXiv · 1906.10864

Cross-correlated Contrast Source Inversion

Shilong Sun·Bert Jan Kooij·Tian Jin·Alexander G. Yarovoy
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Abstract

In this paper, we improved the performance of the contrast source inversion (CSI) method by incorporating a so-called cross-correlated cost functional, which interrelates the state error and the data error in the measurement domain. The proposed method is referred to as the cross-correlated CSI. It enables better robustness and higher inversion accuracy than both the classical CSI and multiplicative regularized CSI (MR-CSI). In addition, we show how the gradient of the modified cost functional can be calculated without significantly increasing the computational burden. The advantages of the proposed algorithms are demonstrated using a 2-D benchmark problem excited by a transverse magnetic wave as well as a transverse electric wave, respectively, in comparison to classical CSI and MR-CSI.

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Shilong Sun, Bert Jan Kooij, Tian Jin, Alexander G. Yarovoy. 2019-06-26. Cross-correlated Contrast Source Inversion. https://doi.org/10.1109/tap.2017.2673758

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