Abstract: 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.
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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.
Serafino F, Lugni C, Nieto Borge JC, Zamparelli V, Soldovieri F. Bathymetry Determination via X-Band Radar Data: A New Strategy and Numerical Results. Sensors. 2010; 10(7):6522-6534.
Serafino, Francesco; Lugni, Claudio; Nieto Borge, Jose Carlos; Zamparelli, Virginia; Soldovieri, Francesco. 2010. "Bathymetry Determination via X-Band Radar Data: A New Strategy and Numerical Results." Sensors 10, no. 7: 6522-6534.