DocumentCode
1128434
Title
Extending the CCSDS Recommendation for Image Data Compression for Remote Sensing Scenarios
Author
García-Vílchez, Fernando ; Serra-Sagristà, Joan
Author_Institution
Dept. of Inf. & Commun. Eng., Univ. Autonoma de Barcelona, Barcelona, Spain
Volume
47
Issue
10
fYear
2009
Firstpage
3431
Lastpage
3445
Abstract
This paper presents prominent extensions that have been proposed for the Consultative Committee for Space Data Systems Recommendation for Image Data Compression (CCSDS-122-B-1). Thanks to the proposed extensions, the Recommendation gains several important featured advantages: It allows any number of spatial wavelet decomposition levels; it provides scalability by quality, position, resolution, and component; and it supports multi-/hyper-/ultraspectral data coding, allowing a spectral decorrelation if requested. As a consequence, compression performance is notably improved with respect to the Recommendation for a large variety of remote sensing images, both monoband and multi-/hyper-/ultraspectral images. Reported results for hyperspectral data suggest that our proposal is competitive with the JPEG2000 standard.
Keywords
data compression; feature extraction; geophysical techniques; image coding; remote sensing; CCSDS recommendation image; Consultative Committee for Space Data Systems Recommendation for Image Data Compression; feature extraction; hyperspectral data coding; monoband images; multispectral data coding; remote sensing scenarios; ultraspectral data coding; wavelet decomposition; Data compression; image coding; multidimensional coding; standards;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/TGRS.2009.2021067
Filename
5159489
Link To Document