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 …

With the increasing volume of high-resolution satellite images, image compression
technology has become a research hotspot in the field of remote sensing image processing; …

Learned image compression has achieved a series of breakthroughs for nature images, but
there is little literature focusing on high-resolution remote sensing image (HRRSI) datasets …

Hyperspectral data lossy compression has not yet achieved global acceptance in the remote
sensing community, mainly because it is generally perceived that using compressed images …

Compressing remote sensing images with high spatial and spectral resolution plays an
important role in subsequent image processing and information acquisition. Accurate data …

Spectral transforms are widely used for the codification of remote-sensing imagery, with the
Karhunen-Loêve transform (KLT) and wavelets being the two most common transforms. The …

A novel wavelet-based scheme to increase coefficient independence in hyperspectral
images is introduced for lossless coding. The proposed regression wavelet analysis (RWA) …

In this paper, a 2-D oriented wavelet transform (OWT) is introduced for efficient remote-
sensing image compression. The proposed 2-D OWT can perform integrative oriented …

In this paper, a performance evaluation of the state-of-the-art H. 264/AVC video coding
standard is carried out with the aim of determining its feasibility when applied to …