  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.
