By Topic

Permutations and prediction for lossless compression of multispectral TM images

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Z. Arnavut ; 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

Published in:

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