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Proceedings Paper

Detecting moving targets in SAR imagery by using a phase-error correction algorithm
Author(s): James R. Fienup; A. M. Kowalczyk
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Paper Abstract

Motion of a target induces phase errors in a synthetic-aperture (SAR) signal (phase) history that cause the image of the moving target to be smeared in azimuth. We can detect the presence of a moving target by sensing the smearing, as follows. We divide the complex image of a scene that includes a moving target into a grid of patches, and apply a phase-error correction algorithm to each patch. We have used the shear averaging phase-error correction algorithm. Patches that have large phase errors are likely to contain the image of a moving target. We also compute the sharpness of the image in the patch before and after phase-error correction; an increase in sharpness indicates the presence of a moving target, and it is a better indicator than the magnitude of the phase error. This approach requires just a single-antenna conventional SAR system. It is highly sensitive to the azimuth component of target velocity and to radial acceleration.

Paper Details

Date Published: 5 June 1995
PDF: 7 pages
Proc. SPIE 2487, Algorithms for Synthetic Aperture Radar Imagery II, (5 June 1995); doi: 10.1117/12.210849
Show Author Affiliations
James R. Fienup, Environmental Research Institute of Michigan (United States)
A. M. Kowalczyk, Environmental Research Institute of Michigan (United States)


Published in SPIE Proceedings Vol. 2487:
Algorithms for Synthetic Aperture Radar Imagery II
Dominick A. Giglio, Editor(s)

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