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Sensors 2010, 10(7), 6522-6534;

Bathymetry Determination via X-Band Radar Data: A New Strategy and Numerical Results

Institute for Electromagnetic Sensing of the Environment, National Research Council, Via Diocleziano 328, Napoli, I-80124 Italy
INSEAN, the Italian Ship Model Basin, Department of Seakeeping and Maneuverability, Via di Vallerano, 139, Roma, I-00128 Italy
Department of Signal Theory and Communications, University of Alcala, Alcala de Henares, Spain
Author to whom correspondence should be addressed.
Received: 27 May 2010 / Revised: 15 June 2010 / Accepted: 25 June 2010 / Published: 6 July 2010
(This article belongs to the Special Issue Intelligent Sensors - 2010)
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This work deals with the question of sea state monitoring using marine X-band radar images and focuses its attention on the problem of sea depth estimation. We present and discuss a technique to estimate bathymetry by exploiting the dispersion relation for surface gravity waves. This estimation technique is based on the correlation between the measured and the theoretical sea wave spectra and a simple analysis of the approach is performed through test cases with synthetic data. More in detail, the reliability of the estimate technique is verified through simulated data sets that are concerned with different values of bathymetry and surface currents for two types of sea spectrum: JONSWAP and Pierson-Moskowitz. The results show how the estimated bathymetry is fairly accurate for low depth values, while the estimate is less accurate as the bathymetry increases, due to a less significant role of the bathymetry on the sea surface waves as the water depth increases. View Full-Text
Keywords: sea-state monitoring; X-band Radar images; water-depth estimation sea-state monitoring; X-band Radar images; water-depth estimation
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Serafino, F.; Lugni, C.; Nieto Borge, J.C.; Zamparelli, V.; Soldovieri, F. Bathymetry Determination via X-Band Radar Data: A New Strategy and Numerical Results. Sensors 2010, 10, 6522-6534.

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