Share Email Print
cover

Proceedings Paper

Vector quantization with self-resynchronizing coding for lossless compression and rebroadcast of the NASA Geostationary Imaging Fourier Transform Spectrometer (GIFTS) data
Author(s): Bormin Huang; Shih-Chieh Wei; Hung-Lung Huang; William L. Smith; Hal J. Bloom
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

As part of NASA's New Millennium Program, the Geostationary Imaging Fourier Transform Spectrometer (GIFTS) is an advanced ultraspectral sounder with a 128x128 array of interferograms for the retrieval of such geophysical parameters as atmospheric temperature, moisture, and wind. With massive data volume that would be generated by future advanced satellite sensors such as GIFTS, chances are that even the state-of-the-art channel coding (e.g. Turbo codes, LDPC) with low BER might not correct all the errors. Due to the error-sensitive ill-posed nature of the retrieval problem, lossless compression with error resilience is desired for ultraspectral sounder data downlink and rebroadcast. Previously, we proposed the fast precomputed vector quantization (FPVQ) with arithmetic coding (AC) which can produce high compression gain for ground operation. In this paper we adopt FPVQ with the reversible variable-length coding (RVLC) to provide better resilience against satellite transmission errors remaining after channel decoding. The FPVQ-RVLC method is compared with the previous FPVQ-AC method for lossless compression of the GIFTS data. The experiment shows that the FPVQ-RVLC method is a significantly better tool for rebroadcast of massive ultraspectral sounder data.

Paper Details

Date Published: 5 September 2008
PDF: 10 pages
Proc. SPIE 7084, Satellite Data Compression, Communication, and Processing IV, 708408 (5 September 2008); doi: 10.1117/12.800914
Show Author Affiliations
Bormin Huang, Univ. of Wisconsin, Madison (United States)
Shih-Chieh Wei, Univ. of Wisconsin, Madison (United States)
Hung-Lung Huang, Univ. of Wisconsin, Madison (United States)
William L. Smith, Univ. of Wisconsin, Madison (United States)
Hal J. Bloom, NOAA (United States)


Published in SPIE Proceedings Vol. 7084:
Satellite Data Compression, Communication, and Processing IV
Bormin Huang; Roger W. Heymann; Joan Serra-Sagristà, Editor(s)

© SPIE. Terms of Use
Back to Top