Multimodal multitAsk learninG for MultIsCale BATHYmetric mapping in shallow waters

Project Information

MagicBathy

Grant agreement ID: 101063294

DOI

10.3030/101063294

Project closed

EC signature date 7 July 2022

Start date 1 February 2023

End date 31 August 2025

Funded under

• Marie Skłodowska-Curie Actions (MSCA)

Total cost

No data

EU contribution

€ 189 687,36

Coordinated by

TECHNISCHE UNIVERSITAT BERLIN
Germany

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Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Peer reviewed articles (3)

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

Author(s): Maximilian Kromer, Panagiotis Agrafiotis, Begüm Demir
Published in: IEEE Geoscience and Remote Sensing Letters, 2025, ISSN 1545-598X
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.48550/ARXIV.2508.07760

High resolution optical and acoustic remote sensing datasets of the Puck Lagoon

Author(s): Łukasz Janowski, Dimitrios Skarlatos, Panagiotis Agrafiotis, Paweł Tysiąc, Andrzej Pydyn, Mateusz Popek, Anna M Kotarba-Morley, Gottfried Mandlburger, Łukasz Gajewski, Mateusz Kołakowski, Alexandra Papadaki, Juliusz Gajewski
Published in: Scientific Data (Sci Data), Issue 360, 2024, ISSN 2052-4463
Publisher: Nature
DOI: 10.48550/ARXIV.2411.08712

Deep learning-based bathymetry retrieval without in-situ depths using remote sensing imagery and SfM-MVS DSMs with data gaps

Author(s): Panagiotis Agrafiotis, Begüm Demir
Published in: ISPRS Journal of Photogrammetry and Remote Sensing, Issue 225, 2025, ISSN 0924-2716
Publisher: Elsevier BV
DOI: 10.48550/ARXIV.2504.11416

Conference proceedings (1)

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

Author(s): Panagiotis Agrafiotis, Łukasz Janowski, Dimitrios Skarlatos, Begüm Demir
Published in: IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, 2024, ISSN 2153-7003
Publisher: IEEE
DOI: 10.48550/arXiv.2405.15477