activity
20192026
most citedShallow Water Bathymetry Mapping from UAV Imagery based on Machine Learning

57 citations · 155 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2026

OceanMAE: A Foundation Model for Ocean Remote Sensing

Viola-Joanna Stamer, Panagiotis Agrafiotis, Behnood Rasti +1

Accurate ocean mapping is essential for applications such as bathymetry estimation, seabed characterization, marine litter detection, and ecosystem monitoring. However, ocean remot…

cs.CV2025★ 7 cited

Seabed-Net: A multi-task network for joint bathymetry estimation and seabed classification from remote sensing imagery in shallow waters

Panagiotis Agrafiotis, Begüm Demir

Accurate, detailed, and regularly updated bathymetry, coupled with complex semantic content, is essential for under-mapped shallow-water environments facing increasing climatologic…

eess.IV2025★ 1 cited

Sea-Undistort: A Dataset for Through-Water Image Restoration in High Resolution Airborne Bathymetric Mapping

Maximilian Kromer, Panagiotis Agrafiotis, Begüm Demir

Accurate image-based bathymetric mapping in shallow waters remains challenging due to the complex optical distortions such as wave induced patterns, scattering and sunglint, introd…

cs.CV2025★ 24 cited

Deep Learning-based Bathymetry Retrieval without In-situ Depths using Remote Sensing Imagery and SfM-MVS DSMs with Data Gaps

Panagiotis Agrafiotis, Begüm Demir

Accurate, detailed, and high-frequent bathymetry is crucial for shallow seabed areas facing intense climatological and anthropogenic pressures. Current methods utilizing airborne o…

cs.CV2024★ 29 cited

High-resolution optical and acoustic remote sensing datasets of the Puck Lagoon, Southern Baltic

Łukasz Janowski, Dimitrios Skarlatos, Panagiotis Agrafiotis +9

The very shallow marine basin of Puck Lagoon in the southern Baltic Sea, on the Northern coast of Poland, hosts valuable benthic habitats and cultural heritage sites. These include…

cs.CV2024★ 17 cited

MagicBathyNet: A Multimodal Remote Sensing Dataset for Bathymetry Prediction and Pixel-based Classification in Shallow Waters

Panagiotis Agrafiotis, Łukasz Janowski, Dimitrios Skarlatos +1

Accurate, detailed, and high-frequent bathymetry, coupled with complex semantic content, is crucial for the undermapped shallow seabed areas facing intense climatological and anthr…

cs.CV2023★ 5 cited

Unsupervised crack detection on complex stone masonry surfaces

Panagiotis Agrafiotis, Anastastios Doulamis, Andreas Georgopoulos

Computer vision for detecting building pathologies has interested researchers for quite some time. Vision-based crack detection is a non-destructive assessment technique, which can…

cs.CV2022

Seafloor-Invariant Caustics Removal from Underwater Imagery

Panagiotis Agrafiotis, Konstantinos Karantzalos, Andreas Georgopoulos

Mapping the seafloor with underwater imaging cameras is of significant importance for various applications including marine engineering, geology, geomorphology, archaeology and bio…

cs.CV2020★ 15 cited

Image-based underwater 3D reconstruction for Cultural Heritage: from image collection to 3D. Critical steps and considerations

Dimitrios Skarlatos, Panagiotis Agrafiotis

Underwater Cultural Heritage (CH) sites are widely spread; from ruins in coastlines up to shipwrecks in deep. The documentation and preservation of this heritage is an obligation o…

cs.CV2019★ 57 cited

Shallow Water Bathymetry Mapping from UAV Imagery based on Machine Learning

Panagiotis Agrafiotis, Dimitrios Skarlatos, Andreas Georgopoulos +1

The determination of accurate bathymetric information is a key element for near offshore activities, hydrological studies such as coastal engineering applications, sedimentary proc…