Fusion of polarimetric radar images using hybrid matching pursuit

In this paper, we consider the problem of fusion of multi-polarization radar images and develop a new greedy algorithm referred to as hybrid matching pursuit (HMP). By combining the strengths of the orthogonal matching pursuit algorithm and the subspace pursuit algorithm, HMP can enhance target reflections and attenuate background clutter. Experimental results based on measured radar data demonstrate that HMP offers better image quality with higher target-clutter-ratio compared to some popular greedy algorithms.