Multiscale edge approach for the detection and location of internal waves from SAR images

Josep A. Rodenas; Rene Garello

doi:10.1117/12.304922

26 March 1998 Multiscale edge approach for the detection and location of internal waves from SAR images

Josep A. Rodenas, Rene Garello

Proceedings Volume 3391, Wavelet Applications V; (1998) https://doi.org/10.1117/12.304922
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

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.

Citation Download Citation

Josep A. Rodenas and Rene Garello "Multiscale edge approach for the detection and location of internal waves from SAR images", Proc. SPIE 3391, Wavelet Applications V, (26 March 1998); https://doi.org/10.1117/12.304922

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