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Proceedings Paper

SAR imaging and multiresolution analysis
Author(s): Gregory Beylkin; John D. Gorman; Sylvia Li-Fliss; Mark A. Ricoy
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Paper Abstract

Many synthetic aperture radar (SAR) image formation algorithms require the computation of a multidimensional Fourier transform of irregularly sampled or unequally spaced data samples. We apply a recently developed algorithm, the unequally spaced FFT (USFFT), to SAR image formation and compare its accuracy and complexity to a conventional algorithm. We find that the USFFT algorithm allows comparable accuracy to traditional approaches at a slightly reduced computational cost. We briefly discuss extensions of the USFFT algorithm to multiresolution SAR imaging.

Paper Details

Date Published: 5 June 1995
PDF: 9 pages
Proc. SPIE 2487, Algorithms for Synthetic Aperture Radar Imagery II, (5 June 1995); doi: 10.1117/12.210834
Show Author Affiliations
Gregory Beylkin, Univ. of Colorado/Boulder (United States)
John D. Gorman, Environmental Research Institute of Michigan (United States)
Sylvia Li-Fliss, Environmental Research Institute of Michigan (United States)
Mark A. Ricoy, 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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