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Proceedings Paper

Detection of above-ground and subsurface unexploded ordnance using ultrawideband (UWB) synthetic aperture radar (SAR) and electromagnetic modeling tools
Author(s): Anders J. Sullivan; Thyagaraju Damarla; Norbert Geng; Yanting Dong; Lawrence Carin
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Paper Abstract

Recent development of wideband, high-resolution SAR technology has shown that detecting buried targets over large open areas may be possible. Ground clutter and soil type are tow limiting factor influencing the practicality of using wideband SAR for wide-area target detection. In particular, the presence of strong ground clutter because of the unevenness, roughness or inconsistency of the soil itself may limit the radar's capability to resolve the target from the clutter. Likewise, the soil material properties can also play a major tole. The incident wave may experience significant attenuation as the wave penetrates lossy soil. In an attempt to more fully characterize this problem, fully polarimetric ultra-wideband measurements have been taken by the US Army Research Laboratory's SAR at test sites in Yuma, Arizona, and Elgin Air Force Base, Florida. SAR images have been generated for above-ground and subsurface unexploded ordnance targets, including 155-mm shells. Additionally, a full-wave method of moments (MoM) model has been developed for the electromagnetic scattering from these same targets, accounting for the lossy nature and frequency dependency of the various soils. An approximate model based on phys9cal optics (PO) has also been developed. The efficacy of using PO in lieu of the MoM to generate the electromagnetic scattering data is examined. We compare SAR images from the measured data with images produced by the MoM and PO simulations by using a standard back-projection technique.

Paper Details

Date Published: 22 August 2000
PDF: 10 pages
Proc. SPIE 4038, Detection and Remediation Technologies for Mines and Minelike Targets V, (22 August 2000); doi: 10.1117/12.396182
Show Author Affiliations
Anders J. Sullivan, Army Research Lab. (United States)
Thyagaraju Damarla, Army Research Lab. (United States)
Norbert Geng, Univ. of Karlsruhe (Germany)
Yanting Dong, Duke Univ. (United States)
Lawrence Carin, Duke Univ. (United States)


Published in SPIE Proceedings Vol. 4038:
Detection and Remediation Technologies for Mines and Minelike Targets V
Abinash C. Dubey; James F. Harvey; J. Thomas Broach; Regina E. Dugan, Editor(s)

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