UBathy: a new approach for bathymetric inversion from video imagery
Visualitza/Obre
Cita com:
hdl:2117/178935
Tipus de documentArticle
Data publicació2019-11-20
EditorMultidisciplinary Digital Publishing Institute (MDPI)
Condicions d'accésAccés obert
Llevat que s'hi indiqui el contrari, els
continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
:
Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
A new approach to infer the bathymetry from coastal video monitoring systems is presented. The methodology uses principal component analysis of the Hilbert transform of video images to obtain the components of the wave propagation field and their corresponding frequency and wavenumber. Incident and reflected constituents and subharmonics components are also found. Local water depth is then successfully estimated through wave dispersion relationship. The method is first applied to monochromatic and polychromatic synthetic wave trains propagated using linear wave theory over an alongshore uniform bathymetry in order to analyze the influence of different parameters on the results. To assess the ability of the approach to infer the bathymetry under more realistic conditions and to explore the influence of other parameters, nonlinear wave propagation is also performed using a fully nonlinear Boussinesq-type model over a complex bathymetry. In the synthetic cases, the relative root mean square error obtained in bathymetry recovery (for water depths 0.75m¿h¿8.0m) ranges from ~1% to ~3% for infinitesimal-amplitude wave cases (monochromatic or polychromatic) to ~15% in the most complex case (nonlinear polychromatic waves). Finally, the new methodology is satisfactorily validated through a real field site video.
CitacióSimarro, G. [et al.]. UBathy: a new approach for bathymetric inversion from video imagery. "Remote sensing", 20 Novembre 2019, vol. 11, núm. 23, p. 2722:1-2722:24.
ISSN2072-4292
Altres identificadorshttps://www.mdpi.com/2072-4292/11/23/2722
Col·leccions
Fitxers | Descripció | Mida | Format | Visualitza |
---|---|---|---|---|
simarro_etal_2019.pdf | 5,608Mb | Visualitza/Obre |