Retrieval of wind-driven waves in the Atlantic Ocean by stereo imagery
https://doi.org/10.7868/S2073667321040080
Abstract
Stereo imagery of the roughness sea surface is one of the most effective tools for remote sensing wave characteristics. Typically, this method is implemented from the decks of fixed oceanographic platforms or onshore structures using two or more calibrated cameras. The topography accuracy from stereopairs directly depends on the quality of camera calibration. With a well-functioning procedure for reconstructing the sea surface from the data of a calibrated stereo system, considerable interest is associated with data obtaining with close accuracy using uncalibrated systems. This work is devoted to the study of this issue using the example of ship stereo survey in the Atlantic. The paper considers the process of image processing from uncalibrated cameras, presents the results of reconstructing the sea surface reliefs at several wind speeds and spatial spectra of long surface waves, and analyzes the practical applicability of uncalibrated systems.
About the Authors
N. A. Bogatov
Institute of Applied Physics, Russian Academy of Sciences
Russian Federation
Russian Federation
603950, Ulyanov Str., 46, Nizhny Novgorod
A. A. Molkov
Institute of Applied Physics, Russian Academy of Sciences
Russian Federation
Russian Federation
603950, Ulyanov Str., 46, Nizhny Novgorod
References
1. Schumacher A., Defant A. Stereophotogrammetrische Wellenaufnahmen, Volume 7. W. de Gruyter: Hamburg, Germany, 1939, 86 p.
2. Lobanov A.N. Fotogrammetriya. Moscow, Nedra, 1984, 552 p. (in Russian).
3. Hartley R., Zisserman A. Multiple View Geometry in Computer Vision. Cambridge University Press, 2004, 700 p. doi: 10.1017/CBO9780511811685
4. Shapiro L.G., Stockman G.C. Computer Vision. 3-ed edition. Prentice Hall, New Jersey, 2015, 763 p.
5. Prince S.J.D. Computer Vision: Models, Learning, and Inference. Cambridge University Press, 2012, 600 p.
6. Holthuijsen L.H. Observations of the directional distribution of ocean wave energy. J. Phys. Oceanogr. 1983, 13, 816– 827. doi: 10.1175/1520–0485(1983)013<0191:OOTDDO>2.0.CO;2
7. Barstow S.F., Bidlot J.-R., Caires S., Donelan M.A., Drennan W.M. et al. Measuring and analysing the directional spectrum of ocean waves. COST 714. COST Office, 2005. 465 p.
8. Benetazzo A., Fedele F., Gallego G., Shih P.-C., Yezzi A. Offshore stereo measurements of gravity waves. Coast. Eng. 2012, 64, 127–138. doi: 10.1016/j.coastaleng.2012.01.007
9. Guimaraes P.V., Ardhuin F., Bergamasco F., Leckler F., Filipot J.-F., Shim J.-S., Dulov V., Benetazzo A. A data set of sea surface stereo images to resolve space-time wave fields. Sci. Data. 2020, 7, 145. doi: 10.1038/s41597–020–0492–9
10. Shemdin O.H., Tran H.M., Wu S.C. Directional measurements of short ocean waves with stereography. J. Geophys. Res. 1988, 93, 13891–13901.
11. Banner M.L., Jones S.F., Trinder J.C. Wavenumber spectra of short gravity waves. J. Fluid. Mech. 1989, 198, 321–344. doi: 10.1017/S0022112089000157
12. Shemdin O.H., Tran H.M. Measuring short surface waves with stereography. Photogramm. Eng. Remote Sens. 1992, 58, 311–316.
13. Benetazzo А. Measurements of short water waves using stereo matched image sequences. Coastal Engineering. 2006, 53(12), 1013–1032. doi: 10.1016/j.coastaleng.2006.06.012
14. Kosnik M.V., Dulov V.A., Malinovskij V.V., Smolov V.E., Pogrebnoj A.E. Estimation of two-dimensional spatial spectra of short waves using stereo photography. Ekologicheskaya Bezopasnost’ Pribrezhnoj i Shel’fovoj Zon i Kompleksnoe Ispol’zovaniye Resursov Shel’fa. 2009, 19, 401–414 (in Russian).
15. Kosnik M.V., Dulov V.A. Two-dimensional spatial spectra of short wind waves in natural conditions. Ekologicheskaya Bezopasnost’ Pribrezhnoj i Shel’fovoj Zon i Kompleksnoe Ispol’zovaniye Resursov Shel’fa. 2010, 21, 103–116.
16. Yurovskaya M.V., Dulov V.A., Chapron B., Kudryavtsev V.N. Directional short wind wave spectra derived from the sea surface photography. J. Geophys. Res. 2013, 118 (9), 4380–4394. doi: 10.1002/jgrc.20296
17. Bakhanov V.V., Demakova A.A., Korinenko A.E., Ryabkova M.S., Titov V.I. Estimation of the wind wave spectra with centimeters-to-meter lengths by the sea surface images. Phys. Oceanogr. 2018, 25(3), 177–190. doi: 10.22449/1573–160X-2018–3–177–190
18. Jähne B., Schmidt M., Rocholz R. Combined optical slope/height measurements of short wind waves: principle and calibration. Measurement Science and Technology. 2005, 16 (10), 1937–1944. doi: 10.1088/0957–0233/16/10/008
19. Molkov A.A., Dolin L.S. Determination of wind roughness characteristics based on an underwater image of the sea surface. Izvestiya. Atmospheric and Oceanic Physics. 2012, 48, 552–564.
20. Jähne B., Klinke J., Waas S. Imaging of short ocean wind waves: a critical theoretical review. J. Opt. Soc. Am. A. 1994, 11, 2197–2209. doi: 10.1364/JOSAA.11.002197
21. Campbell A.J., Bechle A.J., Wu C.H. Observations of surfacewaves interacting with ice using stereoimaging. J. Geophys. Res. Oceans. 2014, 119, 3266–3284. doi: 10.1002/2014JC009894
22. Guimarães P.V., Ardhuin F., Sutherland P., Accensi M., Hamon M., Pérignon Y., Thomson J., Benetazzo A., Ferrant P. A surface kinematics buoy (SKIB) for wave–current interaction studies. Ocean Sci. 2018, 14, 1449–1460. doi: 10.5194/os-14–1449–2018
23. Benetazzo A., Barbariol F., Bergamasco F., Torsellob A., Carniela S., Sclavo M.A. Stereo wave imaging from moving vessels: Practical use and applications. Coast. Eng. 2016, 109, 114–127. doi: 10.1016/j.coastaleng.2015.12.008
24. Ma Y., Soatto S., Kosecka J., Shankar Sastry S. An invitation to 3-D vision: from images to geometric models. Springer-Verlag New York, 2004. doi: 10.1111/j.0031–868x.2004.295_2.x
25. Open Source Computer Vision Library (OpenCV) URL: http://opencv.org/ (date of access: 24.04.2021).
26. MathWorks Computer Vision Toolbox. URL: https://www.mathworks.com/products/computer-vision.html (date of access: 24.04.2021).
27. Elfouhaily T., Chapron B., Katsaros K., Vandemark D. A unified directional spectrum for long and short wind-driven waves. J. Geophys. Res. 1997, 102 (15), 781–796.
Review
For citations:
Bogatov N.A., Molkov A.A. Retrieval of wind-driven waves in the Atlantic Ocean by stereo imagery. Fundamental and Applied Hydrophysics. 2021;14(4):90-97. (In Russ.) https://doi.org/10.7868/S2073667321040080
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