Parallel algorithms for high-speed SAR processing

Jordi J. Mallorqui; Marc Bara; Antoni Broquetas; Mariano Wis; Antonio Martinez; Leonardo Nogueira; Victoriano Moreno

doi:10.1117/12.331354

20 November 1998 Parallel algorithms for high-speed SAR processing

Jordi J. Mallorqui, Marc Bara, Antoni Broquetas, Mariano Wis, Antonio Martinez, Leonardo Nogueira, Victoriano Moreno

Proceedings Volume 3497, SAR Image Analysis, Modeling, and Techniques; (1998) https://doi.org/10.1117/12.331354
Event: Remote Sensing, 1998, Barcelona, Spain

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.

Citation Download Citation

Jordi J. Mallorqui, Marc Bara, Antoni Broquetas, Mariano Wis, Antonio Martinez, Leonardo Nogueira, and Victoriano Moreno "Parallel algorithms for high-speed SAR processing", Proc. SPIE 3497, SAR Image Analysis, Modeling, and Techniques, (20 November 1998); https://doi.org/10.1117/12.331354

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