Published May 16, 2023 | Version v1

Dataset for surface waves height prediction through the video and image processing

Authors/Creators

  • 1. IAP RAS

Description

Image-based study of surface waves is a long lasting topic in ocean science and remote sensing. We believe that modern computers and new programming techniques can make a break-through in this area.

 

This dataset provides some video files of surface wind waves of two kinds. First is a video snapshot of a quite large area. Second one is a zoom-in video of a spar-buoy (a stick) located in this field. According to the zoom-in video we may see the actual height of the wave in this particular point. This should be treated as a reliable data and so it can be used to calibrate the brightness field. I.e. the users of this dataset are welcome to train their model to obtain the height of the wave out of its brightness on the zoom-out large-area videos.

 

All video files are readable by a conventional software. Records were taken at mild wind conditions in a gulf (fjord or skerry) of the Ladoga Lake. See "readme.pdf" for the details

Files

freq2.txt

Files (4.6 GB)

Name Size
md5:2947f1cf5477aebf973c9ca42a063ba8
543.1 MB Download
md5:13f7de2827939adcf7cb12406a21aea6
2.0 kB Preview Download
md5:a489e80684dc4ee0167c8ddfe684ba3a
8.1 MB Preview Download
md5:e009b033c9a87a625c3b32ba41f9f185
331.8 MB Preview Download
md5:f74e68cbcad156919201fccb84b2875c
1.1 GB Download
md5:f960698e277fa41242a9296d140e2ca4
2.7 GB Download
md5:95858f5c8967bfa53d925af111cfd6f2
405.8 kB Preview Download
md5:84ac00196eb10814c082c42a1ce09296
889 Bytes Download
md5:3e6b2a38262f8fbefd2b3ba0577d5773
6.4 MB Preview Download
md5:eb71522c30ef37ce1fa3b8c0ac413f82
237.5 kB Preview Download

Additional details

References

  • M. Salin. Wind-wave optic lab // Github, webpage: https://github.com/mikesalin/wwol accessed: 04-05-2023
  • B. M. Salin, M. B. Salin. Combined Method for Measuring 3D Wave Spectra. II. Examples of Using the Basic Measurement Procedures and Analysis of the Obtained Results // Radiophysics and Quantum Electronics, 2015. V. 58, No. 3. P. 185-196 https://doi.org/10.1007/s11141-015-9592-3
  • M.B. Salin, A.V. Vitalsky. Usage of single-camera video recording to measure sea surface roughness with machine learning methods // arXiv 2303.09967, 2023 https://doi.org/10.48550/arXiv.2303.09967
  • M. B. Salin, O. A. Potapov, B. M. Salin, A. S. Chashchin. Measuring the characteristics of backscattering of sound on a rough surface in the near-field zone of a phased array // Acoustical Physics, 2016. Vol. 62, No. 1, P. 74-88. https://doi.org/10.1134/S106377101506010X