Sea surface radar image processing based on wavelet techniques
Pricop, C.; Jurian, M. (1998). Sea surface radar image processing based on wavelet techniques, in: Marine meteorology and related oceanographic activities: provision and engineering/operational application of ocean wave data Unesco, Paris, 21-25 September 1998. pp. 280-285
In: (1998). Marine meteorology and related oceanographic activities: provision and engineering/operational application of ocean wave data Unesco, Paris, 21-25 September 1998. Marine Meteorology and Related Oceanographic Activities Report, 42. World Meteorological Organization: Geneva. 347 pp., meer
In: Marine Meteorology and Related Oceanographic Activities Report. World Meteorological Organisation: Genève, meer
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| Abstract |
In this paper we will intend to show that wavelet-based techniques used in Synthetic Aperture Radar Image Processing can improve quantitative and qualitative interpretation of the, radar imaging mechanisms for the sea surface. We will present a brief overview of synthetic aperture radar of sea surface and we will examine the capability of wavelet-based techniques to provide information on sea surface processes. Sea surface SAR image processing needs special SAR image processing techniques as those based by time-frequency representation, multiresolution analysis, fractals. Wavelets are an analytical tool that can be used to study fractals. Wavelet co-efficients and fractal dimension estimates are reliable features of 2D sea surface radar signal in image segmentation, edge detection, image compression. We simulate SAR sea surface images, with similar features like those of the real images, in open sea or of the coastal zones. We apply 2D wavelet decomposition and reconstruction to the simulated images. We demonstrate the efficiency of the wavelet image processing techniques in multiresolution processing, multiscale edge detect-ion, texture discrimination, noise reduction in sea SAR image processing. |
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