基于可重构fpga的星载卫星图像压缩

Anwar S. Dawood, John A. Williams, S. J. Visser
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引用次数: 29

摘要

遥感卫星几乎完全采用存储转发模式,将获取的图像存储在卫星上,直到地面站进入视野时才下行。星载成像传感器以非常高的速率产生大量数据,但是存储容量和通信带宽是昂贵的卫星资源。通过在获取图像时压缩图像,可以更好地利用可用的存储和带宽容量。可重构计算技术结合了传统微处理器的灵活性和ASIC器件的性能,在空间应用方面非常有前景。高性能计算(HPC-I)有效载荷,基于辐射强化可重构FPGA,已经被开发并集成到澳大利亚科学任务卫星联邦卫星中。hpc - 1是一个空间测试平台,用于验证各种卫星应用的可重构逻辑。介绍了车载图像压缩系统(OBICS)在HPC-I上的设计与实现,并以JPEG标准为基准对OBICS的压缩性能进行了评价。结果表明,fpga和HPC-I是这种系统的合适平台,并且只有适度复杂的逻辑设计才能实现令人满意的压缩。
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On-board satellite image compression using reconfigurable FPGAs
Remote sensing satellites operate almost exclusively in a store-and-forward mode, with acquired imagery stored on board until being downlinked when ground stations come within view. Space-borne imaging sensors generate tremendous volumes of data at very high rates, however storage capacity and communication bandwidth are expensive satellite resources. By compressing the images as they are acquired, better use is made of available storage and bandwidth capacity. Reconfigurable computing technology, which combines the flexibility of traditional microprocessors with the performance of ASIC devices, is very promising for space applications. The High Performance Computing (HPC-I) payload, based on a radiation hardened reconfigurable FPGA has been developed and integrated into the Australian scientific mission satellite FedSat. HPC-I is a testbed in space to validate reconfigurable logic for a variety of satellite applications. The design and implementation on HPC-I of the On-Board Image Compression System (OBICS) is presented, and its compression performance evaluated using JPEG standard as a benchmark. The results indicate that FPGAs and HPC-I are suitable platforms for such systems, and that satisfactory compression can only be achieved with moderately complex logic designs.
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