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. © 2011 Springer-Verlag.
CITATION STYLE
Trivedi, V., & Cheng, H. (2011). Lossless compression of satellite image sets using spatial area overlap compensation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6754 LNCS, pp. 243–252). https://doi.org/10.1007/978-3-642-21596-4_25
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