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Stereooptical Methods of Sea Surface Processes Registration

https://doi.org/10.59887/2073-6673.2024.17(3)-4

Abstract

This work presents the optical methods for measurements of physical parameters on sea surface also covered by ice by using stereo cameras. New method of images with sea ice processing is offered. It can detect areas of open water and sharp edges on ice, which influence on radar signal refraction. This method is based on area of interest detection on optical images, statistical parameters for each area calculation, classification and local level definition to recognize needed structures. By using stereo system perspective distortions can be corrected and physical parameters of wind waves and sea ice can be calculated. This method was probe on stereo images obtained from 90th voyage of R/V «Akademik Mstislav Keldysh» in the Laptev Sea.

The results of ripple waves velocity measurements in case on open water by using development previously stereo method is presented. Comparison with Doppler shift of microwave signal is made.

The methods presented in this paper are of interest in field experiments simultaneously with the use of coherent radar stations for the quantitative interpretation of radar data, as well as for remote monitoring of the sea surface and ice conditions methods development.

About the Authors

N. A. Bogatov
A.V. Gaponov-Grekhov Institute of Applied Physics the Russian Academy of Sciences
Russian Federation

603950, Ul’anova str., 46, Nizhny Novgorod



A. V. Ermoshkin
A.V. Gaponov-Grekhov Institute of Applied Physics the Russian Academy of Sciences
Russian Federation

603950, Ul’anova str., 46, Nizhny Novgorod



References

1. Zakhvatkina N., Smirnov V., Bychkova I. Satellite SAR Data-based Sea Ice Classification: An Overview. Geosciences. 2019, 9, 4, 152 p. doi:10.3390/geosciences9040152

2. Rohith M.V., Jones J., Eicken H., Kambhamettu C. Extracting Quantitative Information on Coastal Ice Dynamics and Ice Hazard Events From Marine Radar Digital Imagery. IEEE Transactions on Geoscience and Remote Sensing. May 2013, 51, 5, 2556–2570. doi:10.1109/TGRS.2012.2217972

3. Otsu N. A threshold selection method from gray-level histograms. IEEE Transactions on Systems, Man and Cyber netics. 1979, 9, 62–66. doi:10.1109/TSMC.1979.4310076

4. Banner M.L., Jones I.S.F., Trinder J.C. Wavenumber spectra of short gravity waves. Journal of Fluid Mechanics. 1989, 198, 321–344. doi:10.1017/S0022112089000157

5. Shemdin O., Tran H. Measuring Short Surface Waves with Stereography. Photogrammetric Engineering and Remote Sensing. 1992, 58, 311–316.

6. Benetazzo A. 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

7. 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. doi:10.7868/S2073667321040080 (In Russian)

8. Turney D.E., Anderer A., Banerjee S. A method for three-dimensional interfacial particle image velocimetry (3D-IPIV) of an air–water interface. Measurement Science and Technology. 2009, 20, 4. doi:10.1088/0957–0233/20/4/045403

9. Simoncelli S., Kirillin G., Tolomeev A.P., Grossart H.-P. A low-cost underwater particle tracking velocimetry system for measuring in situ particle flux and sedimentation rate in low- turbulence environments. Limnology and Oceanography: Methods. 2019, 17, 12, 665–681. doi:10.1002/lom3.10341

10. Bogatov N.A., Kapustin I.A., Molkov A.A., Ermoshkin A.V. Retrieval of wind ripple speed from stereo imagery of sea surface. Sovremennye Problemy Distantsionnogo Zondirovaniya Zemli iz Kosmosa. 2023, 20, 2, 216–225. doi:10.21046/2070-7401-2023-20-2-216-225

11. Canny J. A Computational Approach to Edge Detection. IEEE Transactions on Pattern Analysis and Machine Intel ligence. 1986, PAMI-8, 6, 679–698. doi:10.1109/TPAMI.1986.4767851

12. Raffel M., Willert C.E., Scarano F., Kähler C.J., Wereley S.T., Kompenhans J., Particle Image Velocimetry: A Practical Guide, Springer, 2018, 695 p.

13. Kaehler A., Bradski G. Learning OpenCV 3: Computer Vision in C++ with the OpenCV. O’Reilly Media, Inc. 2016, 1024 p.

14. Chapron B., Collard F., Ardhuin F. Direct measurements of ocean surface velocity from space: Interpretation and vali dation. Journal of Geophysical Research: Oceans. 2005, 110, C07008. doi:10.1029/2004JC002809

15. Ermoshkin A.V., Kapustin I.A., Molkov A.A., Bogatov N.A. Determination of the Sea Surface Current by a Dop pler X-Band Radar. Fundamental and Applied Hydrophysics. 2020, 13, 3, 93–103. doi:10.7868/S2073667320030089 (In Russian)


Review

For citations:


Bogatov N.A., Ermoshkin A.V. Stereooptical Methods of Sea Surface Processes Registration. Fundamental and Applied Hydrophysics. 2024;17(3):44-56. (In Russ.) https://doi.org/10.59887/2073-6673.2024.17(3)-4

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ISSN 2073-6673 (Print)
ISSN 2782-5221 (Online)