Kernel methods have long been established as effective techniques in the framework of machine learning and pattern recognition, and have now become the standard

A realistic and comprehensive review of joint approaches to machine learning and signal processing algorithms, with application to communications, multimedia, a

Remote Sensing Digital Image Analysis provides the non-specialist with a treatment of the quantitative analysis of satellite and aircraft derived remotely sense

Optical remote sensing relies on exploiting multispectral and hyper spectral imagery possessing high spatial and spectral resolutions respectively. These modali

This book maximizes reader insights into the field of mathematical models and methods for the processing of two-dimensional remote sensing images. It presents a