Multi-frequency progressive refinement for learned inverse scattering

Owen Melia, Olivia Tsang, Vasileios Charisopoulos, Yuehaw Khoo, Jeremy G. Hoskins, Rebecca Willett

Abstract: Highlights•Consider machine learning for inverse scattering with multi-frequency data.•Design a neural network and training method inspired by recursive linearization.•Introduce a challenging problem setting with high contrast and unknown background.•Show superior performance when compared to other machine learning approaches.