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 …

Using high-fidelity image compression makes it possible to transmit remote-sensing images
in real-time. Nevertheless, existing lossy remote-sensing image compression (RSIC) …

In this paper, we present the design, implementation and results of a set of IP cores that
perform on-board hyperspectral image compression according to the CCSDS 123.0-B-1 …

An efficient compression of hyperspectral images on-board satellites is mandatory in current
and future space missions in order to save bandwidth and storage space. Reducing the data …

A multispectral image is a three-order tensor since it is a three-dimensional matrix, ie, one
spectral dimension and two spatial position dimensions. Multispectral image compression …

This paper presents the modeling, design, and implementation of two intellectual property
(IP) cores that are compliant with the consultative committee for space data systems …

Satellite onboard processing for hyperspectral imaging applications is characterized by
large data sets, limited processing resources and limited bandwidth of communication links …

As an attractive alternative to traditional and large satellite, small satellite cluster (SSC) with
low cost and short development time will play an important role in Earth observation …

The explosive growth of data volume from next generation high-resolution and high-speed
hyperspectral remote sensing systems will compete with the limited on-board storage …

This paper addresses the problem of efficient predictive lossless compression on the
regions of interest (ROIs) in the hyperspectral images with no-data regions. We propose a …