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Proceedings Paper

Automatic target recognition in SAR using digitally spotlighted phase history data
Author(s): Steven W. Worrell; Mehrdad Soumekh
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Paper Abstract

This paper is concerned with a representation of a target's complex Synthetic Aperture Radar signature that could be used for classification purposes. In this representation, the complex SAR signature of a desired target area (chip) as a function of the radar frequency and aspect angle ((omega) , (phi) ) i.e., the target area phase history data) are shown to directly map into the two-dimensional spectrum of the target's image via a nonlinear transformation; the same information base in the ((omega) , (phi) ) domain is shown to be retrievable from the digitally-spotlighted complex SAR signature of the desired target region. For the classification problem (Automatic Target Recognition), the resultant complex SAR signature in the ((omega) , (phi) ) domain is compared with a finite and discrete set of reference complex SAR signatures via a process that we refer to as signal subspace matched filtering.

Paper Details

Date Published: 24 August 2000
PDF: 10 pages
Proc. SPIE 4053, Algorithms for Synthetic Aperture Radar Imagery VII, (24 August 2000); doi: 10.1117/12.396346
Show Author Affiliations
Steven W. Worrell, Air Force Research Lab. (United States)
Mehrdad Soumekh, SUNY/Buffalo (United States)


Published in SPIE Proceedings Vol. 4053:
Algorithms for Synthetic Aperture Radar Imagery VII
Edmund G. Zelnio, Editor(s)

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