Spaced-based data compression issues

[+] Author Affiliations
John A. Saghri

Kuwait University, Electrical and Computer Engineering Department, P.O. Box 5969, Safat?13060, Kuwait

Andrew G. Tescher

Lockheed Martin Mission Systems, Interactive Technology Center, Mail Stop: S40, 1260 Crossman Road, Sunnyvale, California 94089-1198

John T. Reagan

VLSI Technology Inc. 1109 McKay Drive, M/S 21A, San Jose, California 95131

J. Electron. Imaging. 8(3), 301-310 (Jul 01, 1999). doi:10.1117/1.482678
History: Received July 8, 1997; Revised Mar. 7, 1998; Accepted Mar. 12, 1999
Text Size: A A A


Some key issues related to space-based compression design are discussed. Various system considerations as well as potential compression options are also presented. A brief overview of a previously reported robust lossy transform coding algorithm is given followed by a study of its performance sensitivities. These sensitivities include (1) performance sensitivity to commonly observed anomalies in the data including band misalignment and dead/saturated pixels, (2) impact of geometric distortion (processed versus unprocessed data) on compression performance, (3) performance sensitivity to different grouping of bands for spectral decorrelation, and (4) impact of compression on spectral fidelity. In addition, the impact of compression on the results of exploitation of environmental data including automated cloud study will be considered. It is shown that preprocessing to correct any geometric distortion noticeably improves the compression performance. Different groupings of bands also influence the performance. The loss of spectral fidelity, measured by the deviation from the original correlation coefficient matrix, is very insignificant regardless of the image and the coding bit rates. For the available bit rate, it is possible to trade off the compression-induced error between the spectral and spatial resolutions. In the implementation scenarios investigated, it was found that compression at rates approaching 16:1 has a minor impact on the exploitation and assessment of the ultimately derived automated cloud analysis. Additional work is needed to evaluate the impact of compression on other products, such as sea surface temperature. The results to date suggest that lossy compression may play a role in the efficient transmission of environmental information and in its subsequent exploitation. © 1999 SPIE and IS&T.

© 1999 SPIE and IS&T


John A. Saghri ; Andrew G. Tescher and John T. Reagan
"Spaced-based data compression issues", J. Electron. Imaging. 8(3), 301-310 (Jul 01, 1999). ;



Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

PubMed Articles
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via