Paper
24 August 2000 Automatic target recognition in SAR using digitally spotlighted phase history data
Steven W. Worrell, Mehrdad Soumekh
Author Affiliations +
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.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Steven W. Worrell and Mehrdad Soumekh "Automatic target recognition in SAR using digitally spotlighted phase history data", Proc. SPIE 4053, Algorithms for Synthetic Aperture Radar Imagery VII, (24 August 2000); https://doi.org/10.1117/12.396346
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Synthetic aperture radar

Radar

Detection and tracking algorithms

Target detection

Automatic target recognition

Amplitude modulation

Doppler effect

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