Paper
5 June 1995 SAR imaging and multiresolution analysis
Gregory Beylkin, John D. Gorman, Sylvia Li-Fliss, Mark A. Ricoy
Author Affiliations +
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.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gregory Beylkin, John D. Gorman, Sylvia Li-Fliss, and Mark A. Ricoy "SAR imaging and multiresolution analysis", Proc. SPIE 2487, Algorithms for Synthetic Aperture Radar Imagery II, (5 June 1995); https://doi.org/10.1117/12.210834
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CITATIONS
Cited by 9 scholarly publications.
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KEYWORDS
Synthetic aperture radar

Reconstruction algorithms

Image acquisition

Optical filters

Algorithm development

Radar

Digital filtering

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