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