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Proceedings Paper

Multiscale edge approach for the detection and location of internal waves from SAR images
Author(s): Josep A. Rodenas; Rene Garello
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Paper Abstract

In this paper, an efficient computational framework for the extraction of mesoscale features, i.e. internal waves, present in SAR images is discussed. The first problem in a mesoscale detection system is to distinguish sea from land in the SAR imagery. A method for coastline detection based on a sequence of basic processing procedures followed by a contour tracing algorithm is introduced in order to obtain sea-land separation to enhance the internal wave detection problem the utility of wavelet analysis as a tool for automatic oceanic internal wave detection and location from SAR images is then examined using the 2D wavelet transform based on the multiscale gradient detection method. We show that the evolution of local maxima of the wavelet transform across scale characterize the local shape of these quasi- linear periodic structures. The results from this study show that wavelet analysis is an excellent tool to detect and locate internal wave features from satellite images against internal wave look-a-likes.

Paper Details

Date Published: 26 March 1998
PDF: 12 pages
Proc. SPIE 3391, Wavelet Applications V, (26 March 1998); doi: 10.1117/12.304922
Show Author Affiliations
Josep A. Rodenas, Ecole Nationale Superieure des Telecommunications de Bretagne (France)
Rene Garello, Ecole Nationale Superieure des Telecommunications de Bretagne (France)


Published in SPIE Proceedings Vol. 3391:
Wavelet Applications V
Harold H. Szu, Editor(s)

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