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Proceedings Paper

Improving SAR image of mine-type targets from restricted radar band data
Author(s): Lam Nguyen; Mehrdad Soumekh
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Paper Abstract

This paper presents a method to improve the SAR image of mine-type targets from wideband radar data that contain spectral gaps. The key concept that is exploited here is the correct identification of where the radar energy gaps map into in the ground-plane spectral domain of a targetis SAR image as a function of the targetis coordinates (particularly, its depression angle) as well as the radar system parameters. Once this is established, we apply an iterative method to recover the missing data in the targetis spectral signature. This scheme is capable of not only suppressing the undesirable side-lobes but also recovering subtle coherent (phase) information in the targetis SAR signature. Results using data from a low-frequency ultra-wideband synthetic aperture radar (SAR) designed by Mirage System will be presented.

Paper Details

Date Published: 10 June 2005
PDF: 10 pages
Proc. SPIE 5794, Detection and Remediation Technologies for Mines and Minelike Targets X, (10 June 2005); doi: 10.1117/12.603811
Show Author Affiliations
Lam Nguyen, Army Research Lab. (United States)
Mehrdad Soumekh, SUNY-Buffalo (United States)

Published in SPIE Proceedings Vol. 5794:
Detection and Remediation Technologies for Mines and Minelike Targets X
Russell S. Harmon; J. Thomas Broach; John H. Holloway Jr., Editor(s)

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