Flexible Priori Proximal Bayesian Learning for High-Resolution SAR Imagery

• Published in: 2021 CIE International Conference on Radar (Radar) pp. 207 - 210
• Main Authors: Liao, Xianhua, Yang, Lei, Dou, Yuchen, Li, Xuan
• Format: Conference Proceeding
• Language: English
• Published: IEEE 15.12.2021
• Subjects: Apertures; Bayesian learning; flexible prior; Hamilton Monte Carlo (HMC); Imaging; Markov processes; Monte Carlo methods; Radar imaging; Radar polarimetry; Scattering; synthetic aperture radar (SAR)

The conventional high-resolution synthetic aperture radar(SAR) imagery based on Bayesian learning encounter the problems of static and inflexible of prior. In this paper, a novel Bayesian learning algorithm based on flexible prior (FP-Bayes) is proposed for high-resolution SAR imagery, in which a ne...