Deep learning technique for fast inference of large-scale riverine bathymetry

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H Ghorbanidehno, J Lee, M Farthing, T Hesser… - Advances in Water …, 2021 - Elsevier

Deep learning technique for fast inference of large-scale riverine bathymetry.

EPSCoR Research Infrastructure Improvement Program AND Program Evaluation

Farthing, Ghorbanidehno, Hesser, Lee

GSID: DY73GQxn0f8J

Excerpt

Riverine bathymetry is of crucial importance for shipping operations and flood management. However, obtaining direct measurements of depth is not always easy. Conversely, with recent advances in sensor technology, indirect measurements can be obtained and used to estimate high-resolution river bed topography. Physics-based inverse modeling techniques have been used to estimate bathymetry using indirect measurements like flow velocity at the surface. However, these methods are computationally expensive for large-scale problems …

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Deep learning technique for fast inference of large-scale riverine bathymetry.

Excerpt

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