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Proceedings Paper

High-performance computing in remote sensing image compression
Author(s): Albert Lin; C. F. Chang; M. C. Lin; L. J. Jan
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Paper 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.

Paper Details

Date Published: 12 October 2011
PDF: 11 pages
Proc. SPIE 8183, High-Performance Computing in Remote Sensing, 81830C (12 October 2011); doi: 10.1117/12.897448
Show Author Affiliations
Albert Lin, National Space Organization (Taiwan)
C. F. Chang, National Space Organization (Taiwan)
M. C. Lin, Chung-Shan Institute of Science and Technology (Taiwan)
L. J. Jan, Chung-Shan Institute of Science and Technology (Taiwan)

Published in SPIE Proceedings Vol. 8183:
High-Performance Computing in Remote Sensing
Bormin Huang; Antonio J. Plaza, Editor(s)

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