Title :
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
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;
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
DOI :
10.1109/IGARSS.1993.322448
