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

fYear

2015

fDate

19-24 April 2015

Firstpage

2744

Lastpage

2748

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on

Conference_Location

South Brisbane, QLD

Type

conf

DOI

10.1109/ICASSP.2015.7178470

Filename

7178470