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Permutations and prediction for lossless compression of multispectral TM images

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1 Author(s)
Arnavut, Z. ; Dept. of Geogr. & Geol., Nebraska Univ., Omaha, NE, USA

This paper introduces a reversible remapping technique based on sorting permutations. The algorithm developed utilizes a remapping technique and employs linear predictive operators on a pair of band for TM images. It is shown that the algorithm produces substantial improvements in the compression ratio as compared to the results reported previously

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Geoscience and Remote Sensing, IEEE Transactions on  (Volume:36 ,  Issue: 3 )