Hyperspectral imaging is an indispensable technology for many remote sensing
applications, yet expensive in terms of computing resources. It requires significant …

Hyperspectral imaging is a powerful remote sensing technology, but its use in space is
limited by the large volume of data it produces, which leads to a downlink bottleneck …

Compression of hyperspectral imagery increases the efficiency of image storage and
transmission. It is especially useful to alleviate congestion in the downlinks of planes and …

Hyperspectral imaging (HSI) can extract information from scenes on the earth surface
acquired by airborne or spaceborne sensors. On-board processing of HSI is characterized …

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 …

The advent of space applications with increased computational requirements has led the
space industry to consider innovative chips and avionics architectures for high-performance …

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 …

Laser self-mixing interferometry (SMI) is an attractive sensing scheme due to its compact,
self-align, and cost-effective nature. In this work, an SMI based compute-intensive phase …

Hyperspectral Satellites and System Design is the first book on this subject. It provides a
systematic analysis and detailed design of the entire development process of hyperspectral …