title: Overview of independent component analysis technique with an application to synthetic aperture radar (SAR) imagery processing.
abstract: We present an overview of independent component analysis, an emerging signal processing technique based on neural networks, with the aim to provide an up-to-date survey of the theoretical streams in this discipline and of the current applications in the engineering area. We also focus on a particular application, dealing with a remote sensing technique based on synthetic aperture radar imagery processing: we briefly review the features and main applications of synthetic aperture radar and show how blind signal processing by neural networks may be advantageously employed to enhance the quality of remote sensing data.
authors.affiliation: Faculty of Engineering-Perugia University Loc. Pentima bassa, 21, I-05100, Terni, Italy. sfr@unipg.it
authors.forename: Simone
authors.initials: S
authors.lastname: Fiori
mesh_terms: D016571:Neural Networks, Computer; D011825:Radar / Q000295:instrumentation*; D013026:Space Flight / Q000295:instrumentation* / Q000379:methods