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 :
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