no code implementations • 18 Dec 2021 • Tao Shan, Zhichao Lin, Xiaoqian Song, Maokun Li, Fan Yang, Zhensheng Xu
In this paper, we propose the neural Born iterative method (NeuralBIM) for solving 2D inverse scattering problems (ISPs) by drawing on the scheme of physics-informed supervised residual learning (PhiSRL) to emulate the computing process of the traditional Born iterative method (TBIM).