High-performance computing (HPC) is necessary for remote-sensing image compression to achieve real-time output. There are one panchromatic and four multispectrum bands with a total 970-Mbps data rate in the Formosat-5 remote-sensing instrument. Three Xilinx Virtex 5 field-programmable gate array parts with external memory are used to perform real-time image data compression based on Consultative Committee for Space Data Systems (CCSDS) 122.0-B-1 ["Image data compression," Recommendation for Space Data System Standards, CCSDS 122.0-B-1, CCSDS, Washington, DC (2005)]. Parallel and concurrent handling methodologies are used to achieve HPC in the image compression process with fewer multipliers, smaller memory buffers, and shorter process time.
The high-performance computing is necessary for remote sensing image compression to achieve real time output. There
are one Panchromatic (PAN) band and four Multi-Spectrum (MS) bands with total 970Mbps data rate in the
FORMOSAT-5 Remote Sensing Instrument (RSI). Three Xilinx Virtex 5 FPGAs with external memory are used to
perform real time image data compression based on CCSDS 122.0-B-1. Parallel and concurrent handling strategies are
used to achieve high-performance computing in the process.
The FORMOSAT-5 is an optical remote sensing satellite with PAN 2m and MS 4m resolution, which is under
development by the National Space Organization (NSPO) in Taiwan. The payload consists of one Panchromatic (PAN)
band with 12,000 pixels and four Multi-Spectrum (MS) bands with 6000 pixels in the remote sensing instrument. The
image data compression method complies with the Consultative Committee for Space Data Systems (CCSDS)
standards1,2. The compression ratio can be 1.5 for lossless compression, 3.75 or 7.5 for lossy compression. The Xilinx
Virtex-5Q FPGA, XQR5VFX130 is used to achieve near real time compression.
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