Nowadays, the use of hyperspectral sensors has been extended to a variety of applications
such as the classification of remote-sensing images. Recently, a spectral–spatial …

This paper addresses three problems in the field of hyperspectral image segmentation: the
fact that the way an image must be segmented is related to what the user requires and the …

The classification of remote sensing hyperspectral images for land cover applications is a
very intensive topic. In the case of supervised classification, Support Vector Machines …

Hoy en día el uso de sensores hiperespectrales se ha extendido a una gran variedad de
aplicaciones tales como la clasificación de imágenes de teledetección. Recientemente se …

This paper proposes an intrinsically distributed cellular automata (CA) based approach to
address the perennial problem of real time segmentation and classification of high …