In this paper, we propose graph signal processing based imaging for synthetic aperture radar. We present a modified version of fused least absolute shrinkage and selection operator to cater for graph structure of the radar image. We solve the cost function via alternating direction method of multipliers. Our method provides improved denoising and resolution enhancing capabilities. It can also accommodate the compressed sensing framework quite easily. Experimental results corroborate the validity of our proposed methodology.
@article{arxiv.1808.01656,
title = {Graph Based Imaging for Synthetic Aperture Radar},
author = {Shahzad Gishkori and Bernard Mulgrew},
journal= {arXiv preprint arXiv:1808.01656},
year = {2019}
}