DTFL: A Deep Learning Method for Digital Bathymetry Model Void-Filling Guided by Topographic Feature Line
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DOI: 10.1109/lgrs.2025.3597358
Abstract: Data voids significantly compromise the reliability of Digital Bathymetry Models (DBMs) for critical applications such as oceanographic research and resource exploration. Traditional interpolation methods struggle to accurately reconstruct complex submarine landforms, often resulting in blurred… read more here.
Keywords: deep learning; void filling; topographic feature; bathymetry ... See more keywords