Deep decomposition method for the limited aperture inverse obstacle scattering problem

arXiv:2403.19470v1 Announce Type: cross
Abstract: In this paper, we consider a deep learning approach to the limited aperture inverse obstacle scattering problem. It is well known that traditional deep learning relies solely on data, which may limit its performance for the inverse problem when only indirect observation data and a physical model are available. A fundamental question arises in light of these limitations: is it possible to enable deep learning to work on inverse problems without labeled data and to …

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