Many recent research efforts have been devoted to the use of commodity hardware for solving computationallyintensive scientiļ¬c problems. Among such problems, hyperspectral imagi...
Javier Setoain, Christian Tenllado, Manuel Prieto,...
Endmember extraction is an important technique in the context of spectral unmixing of remotely sensed hyperspectral data. Winter's N-FINDR algorithm is one of the most widely...
The main purpose of this paper is to describe available (HPC)based implementations of remotely sensed hyperspectral image processing algorithms on multi-computer clusters, heterog...
Spectral mixture analysis is an important task for remotely sensed hyperspectral data interpretation. In spectral unmixing, both the determination of spectrally pure signatures (e...
The rapid development of space and computer technologies has made possible to store a large amount of remotely sensed image data, collected from heterogeneous sources. In particul...
Antonio Plaza, David Valencia, Javier Plaza, Pablo...