Sarcomp - A High-Performance Library for SAR Processing

Maron Schlemon, Martin Schulz, Rolf Scheiber, Bengisu Elis, Marc Jäger

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

Abstract

Synthetic Aperture Radar (SAR) captures vast amounts of raw data from satellites and specialized aircraft, necessitating advanced processing for image synthesis. This paper delves into optimization techniques for SAR processing, spotlighting the Fast Fourier Transforms (FFT) and Sinc interpolations. The primary goal is enhancing SAR processing efficiency. We introduce Sarcomp, a SAR processing library in C with a Python API, leveraging SIMD, OpenMP, and cache optimizations. Compatible across x86 (Intel and AMD) and ARM architectures, Sarcomp offers a platform for accelerating SAR processing workflows. Based on tests across multiple architectures, our results validate the effectiveness of the proposed methods.

OriginalspracheEnglisch
TitelEUSAR 2024 - 15th European Conference on Synthetic Aperture Radar
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten153-158
Seitenumfang6
ISBN (elektronisch)9783800762873
PublikationsstatusVeröffentlicht - 2024
Veranstaltung15th European Conference on Synthetic Aperture Radar, EUSAR 2024 - Munich, Deutschland
Dauer: 23 Apr. 202426 Apr. 2024

Publikationsreihe

NameProceedings of the European Conference on Synthetic Aperture Radar, EUSAR
ISSN (Print)2197-4403

Konferenz

Konferenz15th European Conference on Synthetic Aperture Radar, EUSAR 2024
Land/GebietDeutschland
OrtMunich
Zeitraum23/04/2426/04/24

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