Deep-unrolling architecture for image-domain least-squares migration

A general deep-unrolling architecture is proposed to solve the ill-posed inverse problem in the geophysical community. We apply the DU architecture to image-domain least-squares migration, which can provide improved reflectivity estimates. Moreover, the DU architecture can regularize the inversion process and can produce a qualitative measure of the uncertainty. The zip file "DU-IDLSM.rar" is the code of Python for DU-IDLSM and "data.rar" is bin data for DU-IDLSM.