Title :
Homomorphic Inverse-FEXP filtering for target detection in sea SAR images
Author :
Bertacca, Massimo ; Berizzi, Fabrizio ; Mese, Enzo Dalle
Author_Institution :
Dept. of Information Engineering, University of Pisa, Via Caruso 16, 56122 Pisa, ITALY. e-mail: massimo.bertacca@iet.unipi.it
Abstract :
Generalized linear filtering techniques allow signals that have been nonadditively combined to be separated, and the analytical convenience of the principle of superposition for linear systems to be preserved. In this paper we employ Fractionally Exponential spectral models (FEXP) to adaptively modify homomorphic filtering of sea Synthetic Aperture Radar (SAR) images, thereby improving target detection in sea SAR imagery. The presented method demonstrated reliable results when applied to ERS1 and ERS2 SAR PRI of the Mediterranean Sea and North Sea.
Keywords :
Biomedical signal processing; Image analysis; Information filtering; Information filters; Maximum likelihood detection; Nonlinear filters; Object detection; Signal analysis; Signal processing; Synthetic aperture radar;
Conference_Titel :
Radar Symposium, 2006. IRS 2006. International
Conference_Location :
Krakow, Poland
Print_ISBN :
978-83-7207-621-2
DOI :
10.1109/IRS.2006.4338027