High-performance computing in remote sensing image compression

Albert Lin; C. F. Chang; M. C. Lin; L. J. Jan

doi:10.1117/12.897448

12 October 2011 High-performance computing in remote sensing image compression

Albert Lin; C. F. Chang; M. C. Lin; L. J. Jan;

Author Affiliations +

Proceedings Volume 8183, High-Performance Computing in Remote Sensing; 81830C (2011) https://doi.org/10.1117/12.897448
Event: SPIE Remote Sensing, 2011, Prague, Czech Republic

Abstract

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.

Citation Download Citation

Albert Lin, C. F. Chang, M. C. Lin, L. J. Jan, "High-performance computing in remote sensing image compression", Proc. SPIE 8183, High-Performance Computing in Remote Sensing, 81830C (12 October 2011); doi: 10.1117/12.897448; https://doi.org/10.1117/12.897448

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