Performance Evaluation of Data Compression Systems Applied to Satellite Imagery
Joint Authors
Fonseca, Leila M. G.
Costa, Max H. M.
Faria, Lilian N.
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-04-10
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Engineering Sciences and Information Technology
Information Technology and Computer Science
Abstract EN
Onboard image compression systems reduce the data storage and downlink bandwidth requirements in space missions.
This paper presents an overview and evaluation of some compression algorithms suitable for remote sensing applications.
Prediction-based compression systems, such as DPCM and JPEG-LS, and transform-based compression systems, such as CCSDS-IDC and JPEG-XR, were tested over twenty multispectral (5-band) images from CCD optical sensor of the CBERS-2B satellite.
Performance evaluation of these algorithms was conducted using both quantitative rate-distortion measurements and subjective image quality analysis.
The PSNR, MSSIM, and compression ratio results plotted in charts and the SSIM maps are used for comparison of quantitative performance.
Broadly speaking, the lossless JPEG-LS outperforms other lossless compression schemes, and, for lossy compression, JPEG-XR can provide lower bit rate and better tradeoff between compression ratio and image quality.
American Psychological Association (APA)
Faria, Lilian N.& Fonseca, Leila M. G.& Costa, Max H. M.. 2012. Performance Evaluation of Data Compression Systems Applied to Satellite Imagery. Journal of Electrical and Computer Engineering،Vol. 2012, no. 2012, pp.1-15.
https://search.emarefa.net/detail/BIM-474182
Modern Language Association (MLA)
Faria, Lilian N.…[et al.]. Performance Evaluation of Data Compression Systems Applied to Satellite Imagery. Journal of Electrical and Computer Engineering No. 2012 (2012), pp.1-15.
https://search.emarefa.net/detail/BIM-474182
American Medical Association (AMA)
Faria, Lilian N.& Fonseca, Leila M. G.& Costa, Max H. M.. Performance Evaluation of Data Compression Systems Applied to Satellite Imagery. Journal of Electrical and Computer Engineering. 2012. Vol. 2012, no. 2012, pp.1-15.
https://search.emarefa.net/detail/BIM-474182
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-474182