Coherence-Factor-Based Rough Surface Clutter Suppression for Forward-Looking GPR Imaging

Remote Sensing

Moeness Amin¹  Fauzia Ahmad²  Davide Comite³  Traian Dogaru⁴ 

[1] Center for Advanced Communications, Villanova University, Villanova, PA 19085, USA;Department of Electrical and Computer Engineering, Temple University, Philadelphia, PA 19122, USA;Department of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome, 00185 Rome, Italy;U.S. Army Research Lab, Adelphi, MD 20783, USA;

关键词: forward-looking gpr;    surface clutter;    near-field;    antenna arrays;    microwave imaging;    coherence factor;   

DOI  :  10.3390/rs12050857

来源: DOAJ

【 摘 要 】

We present an enhanced imaging procedure for suppression of the rough surface clutter arising in forward-looking ground-penetrating radar (FL-GPR) applications. The procedure is based on a matched filtering formulation of microwave tomographic imaging, and employs coherence factor (CF) for clutter suppression. After tomographic reconstruction, the CF is first applied to generate a “coherence map” of the region in front of the FL-GPR system illuminated by the transmitting antennas. A pixel-by-pixel multiplication of the tomographic image with the coherence map is then performed to generate the clutter-suppressed image. The effectiveness of the CF approach is demonstrated both qualitatively and quantitatively using electromagnetic modeled data of metallic and plastic shallow-buried targets.

【 授权许可】

Unknown