Share Email Print
cover

Proceedings Paper

Error mitigation for CCSD compressed imager data
Author(s): Irina Gladkova; Michael Grossberg; Srikanth Gottipati; Fazlul Shahriar; George Bonev
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

To efficiently use the limited bandwidth available on the downlink from satellite to ground station, imager data is usually compressed before transmission. Transmission introduces unavoidable errors, which are only partially removed by forward error correction and packetization. In the case of the commonly used CCSD Rice-based compression, it results in a contiguous sequence of dummy values along scan lines in a band of the imager data. We have developed a method capable of using the image statistics to provide a principled estimate of the missing data. Our method outperforms interpolation yet can be performed fast enough to provide uninterrupted data flow. The estimation of the lost data provides significant value to end users who may use only part of the data, may not have statistical tools, or lack the expertise to mitigate the impact of the lost data. Since the locations of the lost data will be clearly marked as meta-data in the HDF or NetCDF header, experts who prefer to handle error mitigation themselves will be free to use or ignore our estimates as they see fit.

Paper Details

Date Published: 3 September 2009
PDF: 12 pages
Proc. SPIE 7444, Mathematics for Signal and Information Processing, 744408 (3 September 2009); doi: 10.1117/12.826361
Show Author Affiliations
Irina Gladkova, The City College of New York (United States)
NOAA/CREST (United States)
Michael Grossberg, The City College of New York (United States)
NOAA/CREST (United States)
Srikanth Gottipati, The City College of New York (United States)
NOAA/CREST (United States)
Fazlul Shahriar, The City College of New York (United States)
NOAA/CREST (United States)
George Bonev, The City College of New York (United States)
NOAA/CREST (United States)


Published in SPIE Proceedings Vol. 7444:
Mathematics for Signal and Information Processing
Franklin T. Luk; Mark S. Schmalz; Gerhard X. Ritter; Junior Barrera; Jaakko T. Astola, Editor(s)

© SPIE. Terms of Use
Back to Top