Detecting moving targets in SAR imagery by using a phase-error correction algorithm

James R. Fienup; A. M. Kowalczyk

doi:10.1117/12.210849

5 June 1995 Detecting moving targets in SAR imagery by using a phase-error correction algorithm

James R. Fienup, A. M. Kowalczyk

Proceedings Volume 2487, Algorithms for Synthetic Aperture Radar Imagery II; (1995) https://doi.org/10.1117/12.210849
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

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.

Citation Download Citation

James R. Fienup and A. M. Kowalczyk "Detecting moving targets in SAR imagery by using a phase-error correction algorithm", Proc. SPIE 2487, Algorithms for Synthetic Aperture Radar Imagery II, (5 June 1995); https://doi.org/10.1117/12.210849

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