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Proceedings Paper

Comparison of super-resolution techniques for SAR preprocessing
Author(s): Veronique Guglielmi; Francis Castanie; S. Puechmorel; P. Piau
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Paper Abstract

To increase the spatial resolution of synthetic aperture radar (SAR) images, we process the received data through super-resolution methods instead of conventional pulse compression. Since the problem of SAR processing is 'ill-posed', we must apply regularization techniques by incorporating prior knowledge about the imaged scene. We review restoration techniques with prior knowledge based on known deterministic properties of the solution or formulated in terms of a priori probability distributions. Moreover, we pose the scattering cross section problem as a maximum-likelihood one, and we maximize the likelihood function through optimization algorithms. Numerical results demonstrate that the classical resolution limit can be overcome by using certain super-resolution techniques.

Paper Details

Date Published: 21 November 1995
PDF: 12 pages
Proc. SPIE 2584, Synthetic Aperture Radar and Passive Microwave Sensing, (21 November 1995); doi: 10.1117/12.227134
Show Author Affiliations
Veronique Guglielmi, ENSEEIHT-GAPSE (France)
Francis Castanie, ENSEEIHT-GAPSE (France)
S. Puechmorel, ENAC (France)
P. Piau, Alcatel Espace (France)

Published in SPIE Proceedings Vol. 2584:
Synthetic Aperture Radar and Passive Microwave Sensing
Giorgio Franceschetti; Christopher John Oliver; James C. Shiue; Shahram Tajbakhsh, Editor(s)

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