Paper
10 June 2005 Improving SAR image of mine-type targets from restricted radar band data
Lam Nguyen, Mehrdad Soumekh
Author Affiliations +
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.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lam Nguyen and Mehrdad Soumekh "Improving SAR image of mine-type targets from restricted radar band data", Proc. SPIE 5794, Detection and Remediation Technologies for Mines and Minelike Targets X, (10 June 2005); https://doi.org/10.1117/12.603811
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CITATIONS
Cited by 4 scholarly publications and 4 patents.
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KEYWORDS
Synthetic aperture radar

Radar

Detection and tracking algorithms

Image restoration

Mining

Target detection

Image processing

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