Lossless compression of satellite image sets using spatial area overlap compensation

Authors:
Vivek Trivedi;Howard Cheng
Affiliations:
Department of Mathematics and Computer Science, University of Lethbridge, Lethbridge, Alberta, Canada;Department of Mathematics and Computer Science, University of Lethbridge, Lethbridge, Alberta, Canada
Venue:
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part II
Year:
2011

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Abstract

In this paper we present a new prediction technique to compress a pair of satellite images that have significant overlap in the underlying spatial areas. When this prediction technique is combined with an existing lossless image set compression algorithm, the results are significantly better than those obtained by compressing each image individually. Even when there are significant differences between the two images due to factors such as seasonal and atmospheric variations, the new prediction technique still performs very well to achieve significant reduction in storage requirements.