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Proceedings Paper

Parallel algorithms for high-speed SAR processing
Author(s): Jordi J. Mallorqui; Marc Bara; Antoni Broquetas; Mariano Wis; Antonio Martinez; Leonardo Nogueira; Victoriano Moreno
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Paper Abstract

The mass production of SAR products and its usage on monitoring emergency situations (oil spill detection, floods, etc.) requires high-speed SAR processors. Two different parallel strategies for near real time SAR processing based on a multiblock version of the Chirp Scaling Algorithm (CSA) have been studied. The first one is useful for small companies that would like to reduce computation times with no extra investment. It uses a cluster of heterogeneous UNIX workstations as a parallel computer. The second one is oriented to institutions, which have to process large amounts of data in short times and can afford the cost of large parallel computers. The parallel programming has reduced in both cases the computational times when compared with the sequential versions.

Paper Details

Date Published: 20 November 1998
PDF: 11 pages
Proc. SPIE 3497, SAR Image Analysis, Modeling, and Techniques, (20 November 1998); doi: 10.1117/12.331354
Show Author Affiliations
Jordi J. Mallorqui, Univ. Politecnica de Catalunya (Spain)
Marc Bara, Univ. Politecnica de Catalunya (Spain)
Antoni Broquetas, Univ. Politecnica de Catalunya (Spain)
Mariano Wis, Univ. Politecnica de Catalunya (Spain)
Antonio Martinez, INDRA Espacio (Spain)
Leonardo Nogueira, INDRA Espacio (Spain)
Victoriano Moreno, INDRA Espacio (Spain)


Published in SPIE Proceedings Vol. 3497:
SAR Image Analysis, Modeling, and Techniques
Francesco Posa, Editor(s)

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