Thesis Work - Seeing Beneath the Surface: A Data Fusion Approach to Bathymetric Mapping

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About the Thesis Work The goal of this thesis is to develop a data fusion approach that combines satellite imagery, drone imagery/photogrammetry and ROV sonar measurements to produce accurate, high-resolution bathymetric maps for a shallow water area that is subjected to water regulation for hydropower generation by Vattenfall. The project will investigate how machine learning / deep learning methods can be used to align, calibrate and merge these heterogeneous, multi-resolution data sources into a single consistent depth model, using the sparse but accurate ROV measurements to correct and validate the wide-area satellite- and drone-derived depth estimates.

A further purpose of the thesis is to combine the fused bathymetry with above-water elevation and terrain data to build a full 3D reconstruction of the basin, which will be used to estimate the water v