Public policies and private initiatives share the will to explore outer space and to monitor the
Earth from space sensors. Recent years have seen an increased number of space missions …

Hyperspectral data are a challenge for data compression. Several factors make the
constraints particularly stringent and the challenge exciting. First is the size of the data: as a …

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 …

We propose an enhancement to the algorithm for lossless compression of hyperspectral
images using lookup tables (LUTs). The original LUT method searched the previous band …

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 …

Image compression is the process of reducing the size of the image without compromising
image quality to an unacceptable level. Satellite image compression is very much essential …

Although hyperspectral imagery (HSI), which has been applied in a wide range of
applications, suffers from very large volumes of data, its uncompressed representation is still …

In this paper, a hyperspectral image compression method is proposed. It is based on
spectral clustering, linear prediction and the vector quantization (VQ). Since the …

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 …

摘要提出了一种基于内容的高光谱图像无损压缩算法. 采用自适应波段选择算法对高光谱图像
进行降维, 引入C-means 算法对降维后的光谱矢量进行无监督分类. 利用单调后向排序算法确定 …