In this paper, we consider a model of lossless image compression in which each band of a
multispectral image is coded using a prediction function involving values from a previously …

NASA will acquire billions of gigabytes of data over the next decade. Often there is a
problem just funneling the data down to earth. The 80 foot long Earth Orbiting Satellite …

This letter presents a lossless compression algorithm for hyperspectral images, which is
based on the strength of correlations between bands. First, a searching model is constructed …

In this letter, we propose a new algorithm for lossless compression of hyperspectral images.
The proposed method searches the previous band for a pixel of equal value to the pixel co …

We propose a new efficient region-based scheme for the compression of multispectral
remote-sensing images. The region-based description of an image comprises a …

Hyperspectral images exhibit significant spectral correlation, whose exploitation is crucial for
compression. In this paper, we investigate the problem of predicting a given band of a …

A novel algorithm for the lossless compression of hyperspectral sounding data is presented.
The algorithm rests upon an efficient technique for three-dimensional image band …

This paper presents a new technique for the compression of multispectral images, which
relies on the segmentation of the image into regions of approximately homogeneous land …

In this paper, a new algorithm for lossless compression of hyperspectral images is proposed.
The spectral redundancy in hyperspectral images is exploited using a context-match method …

While spatial correlations are adequately exploited by standard lossless image compression
techniques, little success has been attained in exploiting spectral correlations when dealing …