Fractal Brownian Model for SAR image analysis: edge detection and classification issues

Author

Migliaccio, Maurizio ; Riccio, Daniele

Author_Institution

Istituto Teoria e Tecnica delle Onde Elettromagnetiche, Istituto Univ. Navale, Napoli, Italy

fYear

1993

fDate

18-21 Aug 1993

Firstpage

1605

Abstract

Feature analysis is used to explore and improve SAR imagery and it is therefore of great relevance. In this paper, the Fractal Brownian Model for SAR image edge detection and classification is considered. Such a scheme has been formerly employed in analogous but different research fields (e.g., medical images) providing quite interesting results. First experimental results on SAR imagery are presented and discussed showing analogies and differences with the latter

Keywords

edge detection; feature extraction; fractals; geophysical techniques; pattern recognition; remote sensing by radar; synthetic aperture radar; Fractal Brownian Model; SAR image analysis; classification; edge detection; feature analysis; fractal Brownian model; geophysical measurement technique; imagery; land surface imaging; radar remote sensing; synthetic aperture radar; Biomedical imaging; Data processing; Feature extraction; Fractals; Geometry; Image analysis; Image edge detection; Speckle; Stochastic processes; Synthetic aperture radar;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1993. IGARSS '93. Better Understanding of Earth Environment., International

Conference_Location

Tokyo

Print_ISBN

0-7803-1240-6

Type

conf

DOI

10.1109/IGARSS.1993.322448

Filename

322448