Zenan Zhang

Divide-and-Conquer Variational Bayesian Inference for Multi-task Learning of High-resolution SAR Imagery

Conventional statistical-driven synthetic aperture radar (SAR) imaging algorithms can only encode a single and/or static prior, leading to that limited features can be accessed quantitatively. To this end, a novel multi-task learning framework is proposed by devising a divide-and-conquer variational…