ABSTRACT
To address the computational requirements introduced by many time-critical applications, several research efforts have been recently directed towards the incorporation of high-performance computing (HPC) models in remote sensing missions. HPC is an integrated computing environment for solving large-scale computational demanding problems such as those involved in many remote sensing studies. With the aim of providing a cross-disciplinary forum that will foster collaboration and development in those areas, this book has been designed to serve as one of the first available references specifically focused on describing recent advances in the field of HPC
applied to remote sensing problems. As a result, the content of the book has been organized to appeal to both remote sensing scientists and computer engineers alike. On the one hand, remote sensing scientists will benefit by becoming aware of the extremely high computational requirements introduced by most application areas in Earth and space observation. On the other hand, computer engineers will benefit from the wide range of parallel processing strategies discussed in the book. However, the material presented in this book will also be of great interest to researchers and practitioners working in many other scientific and engineering applications, in particular, those related with the development of systems and techniques for collecting, storing, and analyzing extremely high-dimensional collections of data.
