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 …

Anomaly detection is an active topic in hyperspectral imaging, with many practical
applications. Reed-Xiaoli detector (RXD), a widely used method for anomaly detection, uses …

In the field of geophysics, huge volumes of information often need to be processed with
complex and time-consuming algorithms to better understand the nature of the data at hand …

Compression of hyperspectral images onboard of spacecrafts is a tradeoff between the
limited computational resources and the ever-growing spatial and spectral resolution of the …

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 …

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 …

Hyperspectral sensors are able to provide information that is useful for many different
applications. However, the huge amounts of data collected by these sensors are not exempt …

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

Predictive lossy compression has been shown to represent a very flexible framework for
lossless and lossy onboard compression of multispectral and hyperspectral images with …