Fractal mapping for sea surface anomalies recognition

Author

Berizzi, F. ; Bertini, G. ; Condello, R. ; Dell´Acqua, F. ; Holt, B. ; Gamba, P. ; Garzelli, A. ; Martorella, M.

Author_Institution

Dept. of Inf. Eng., Pisa Univ., Italy

Volume

4

fYear

2003

fDate

21-25 July 2003

Firstpage

2665

Abstract

The aim of this paper is to investigate whether fractal maps extracted from sea SAR images are useful for discriminating the sea from other entities or anomalies. Fractal mapping consists of locally estimating the fractal dimension of the image. To this purpose four different methods based on covering and spectral analysis are proposed and compared when applied to real ERS1-2 GEC images. Wind falls, sea and line coast are well distinguishable in the fractal maps. This result clearly shows that the use of image fractal processing is a promising and powerful technique for identifying sea surface anomalies.

Keywords

fractals; geophysical signal processing; oceanographic techniques; radar imaging; remote sensing by radar; synthetic aperture radar; wind; ERS1-2 GEC images; coastline; fractal mapping; image fractal processing; sea SAR images; sea coast; sea surface anomalies recognition; spectral analysis; wind falls; Fractals; Image analysis; Image recognition; Petroleum; Pixel; Propulsion; Sea surface; Spectral analysis; Surface morphology; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International

Print_ISBN

0-7803-7929-2

Type

conf

DOI

10.1109/IGARSS.2003.1294544

Filename

1294544