DocumentCode :
1845435
Title :
Experiments in the lossless compression of time series satellite images using multispectral image compression techniques
Author :
Spring, James M. ; Langdon, Glen G., Jr.
Author_Institution :
Dept. of Comput. Eng., California Univ., Santa Cruz, CA, USA
Volume :
2
fYear :
1997
fDate :
2-5 Nov. 1997
Firstpage :
1437
Abstract :
This paper is a preliminary study reporting on the results of experiments to take advantage of interband correlation between images from the GOES-West satellite. Experiments primarily focus on attempting to improve the prediction of pixel intensities using information between images in a close time sequence. We apply the use of motion vectors, linear and nonlinear predictors, as well as context modelling. Initial results show some promise, but more study is needed.
Keywords :
data compression; geophysical signal processing; image coding; remote sensing; GOES-West satellite; context modelling; interband correlation; linear predictors; lossless compression; motion vectors; multispectral image compression techniques; nonlinear predictors; pixel intensities; time series satellite images; Brightness; Clouds; Context modeling; Image coding; Image resolution; Multispectral imaging; Pixel; Satellites; Springs; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems & Computers, 1997. Conference Record of the Thirty-First Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
ISSN :
1058-6393
Print_ISBN :
0-8186-8316-3
Type :
conf
DOI :
10.1109/ACSSC.1997.679141
Filename :
679141
Link To Document :
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