GEZGIN: a case study of a real-time image processing subsystem for micro-satellites

N. Ismailoglu, O. Benderli, I. Korkmaz, S. Yesil, R. Sever, H. Sunay, T. Kolcak, Y. Tekmen
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引用次数: 9

Abstract

GEZGIN is a real-time image processing subsystem, developed as an R&D payload for BILSAT-1, the first Earth observing micro-satellite of Turkey. The main functionality of GEZGIN is to compress in real-time multi-spectral images coming concurrently from the 4-band multi-spectral imager on BILSAT-1, using JPEG2000 image compression algorithm. The mission definition of BILSAT-1 imposes a 5.5 seconds interval constraint between two consecutive multi-spectral images with 20% overlap. GEZGIN fulfills this mission requirement by exploiting the parallelism among image processing units and assigning compute intensive tasks to dedicated hardware. The architecture of GEZGIN is highly integrated and fully reconfigurable allowing for the upgrade of all processing units in orbit. Hence it maintains flexibility and robustness against failures which are crucial properties for space applications. GEZGIN is built at low cost using completely "commercial-off-the-shelf" components and having performed well in all the flight readiness tests, has been successfully integrated on BILSAT-1. It is currently undergoing orbital tests.
微型卫星实时图像处理子系统的案例研究
GEZGIN是一种实时图像处理子系统,为土耳其第一颗地球观测微型卫星BILSAT-1研发有效载荷。GEZGIN的主要功能是使用JPEG2000图像压缩算法,对来自BILSAT-1上4波段多光谱成像仪的并发多光谱图像进行实时压缩。BILSAT-1的任务定义在两个重叠20%的连续多光谱图像之间施加了5.5秒的间隔约束。GEZGIN通过利用图像处理单元之间的并行性并将计算密集型任务分配给专用硬件来满足这一任务要求。GEZGIN的架构是高度集成和完全可重构的,允许对轨道上的所有处理单元进行升级。因此,它保持了灵活性和抗故障的稳健性,这是空间应用的关键特性。GEZGIN以低成本建造,完全使用“商用现货”组件,并在所有飞行准备测试中表现良好,已成功集成在BILSAT-1上。目前正在进行轨道测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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