THE BROAD APPLICATION OF A DEPTH INVERSION ALGORITHM BASED ON THE DYNAMIC MODE DECOMPOSITION
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How to Cite

Gawehn, M., Vries, S. de, & Aarninkhof, S. (2020). THE BROAD APPLICATION OF A DEPTH INVERSION ALGORITHM BASED ON THE DYNAMIC MODE DECOMPOSITION. Coastal Engineering Proceedings, (36v), waves.50. https://doi.org/10.9753/icce.v36v.waves.50

Abstract

The technological boost of drones and satellites offers new and more flexible platforms for video-based depth inversion. It signals a desire to generate depth estimates on-the-fly, requiring more flexibility and high computational speeds. For this purpose, a novel algorithm was developed, which is based on the Dynamic Mode Decomposition. The analysis of video from three different field-sites in the Netherlands, Australia and US, suggests that 32 s of video are sufficient to correctly capture the significant wave components in the wave-field. It means that DMD-based depth inversion is suited for fast coastal reconnaissance.

Recorded Presentation from the vICCE (YouTube Link): https://youtu.be/TcE13C1oTKw
https://doi.org/10.9753/icce.v36v.waves.50
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References

Askham, & Kutz (2018): Variable projection methods for an optimized dynamic mode decomposition. SIAM Journal on Applied Dynamical Systems, 17(1), 380-416.

Gawehn, de Vries, Aarninkhof (2019): Depth and Surface Current Inversion On-the-fly: A new Video-based Approach using the Dynamic Mode Decomposition. Coastal Sediments 2019, pp. 2511-2520.

Schmid (2010): Dynamic mode decomposition of numerical and experimental data. Journal of Fluid Mechanics, 656, pp. 5-28.

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