Machine learning based data retrieval for inverse scattering problems with incomplete data

Yu Gao; Kai Zhang

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arXiv · 1910.12745

Machine learning based data retrieval for inverse scattering problems with incomplete data

Yu Gao·Kai Zhang

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Abstract

We are concerned with the inverse scattering problems associated with incomplete measurement data. It is a challenging topic of increasing importance in many practical applications. Based on a prototypical working model, we propose a machine learning based inverse scattering scheme, which integrates a CNN (convolution neural network) for the data retrieval. The proposed method can effectively cope with the reconstruction under limited-aperture and/or phaseless far-field data. Numerical experiments verify the promising features of our new scheme.

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Yu Gao, Kai Zhang. 2019-10-28. Machine learning based data retrieval for inverse scattering problems with incomplete data. https://arxiv.org/abs/1910.12745

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