Title :
Fusion of polarimetric radar images using hybrid matching pursuit
Author :
Cong Peng ; Gang Li ; Burkholder, Robert J.
Author_Institution :
Shenzhen Inst. of Inf. Technol., Shenzhen, China
Abstract :
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.
Keywords :
electromagnetic wave polarisation; greedy algorithms; image fusion; iterative methods; radar clutter; radar imaging; radar polarimetry; HMP; background clutter attenuation; greedy algorithm; hybrid matching pursuit; multipolarization radar image fusion; orthogonal matching pursuit algorithm; polarimetric radar image fusion; subspace pursuit algorithm; target reflection enhancement; Compressed sensing; Greedy algorithms; Matching pursuit algorithms; Radar imaging; Radar measurements; Radar polarimetry; compressive sensing; image fusion; joint sparsity pattern; microwave imaging; polarimetric radar;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on
Conference_Location :
South Brisbane, QLD
DOI :
10.1109/ICASSP.2015.7178470
