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Synthetic Photogrammetric Dataset for Two-Media 3D Reconstruction: Shipwreck & Terrain

Schulte, Frederik; Brezovsky, Markus; Günthner, Anatol 1; Jutzi, Boris ORCID iD icon 1; Mandlburger, Gottfried; Winiwarter, Lukas
1 Institut für Photogrammetrie und Fernerkundung (IPF), Karlsruher Institut für Technologie (KIT)

Abstract:

The data in this repository serves as a benchmark for the development of new image-based processing pipelines that consider two separate optical media, i.e., water and air, including refraction effects. Ground truth datasets representing the true geometry form the basis of the simulation.

The synthetic scene showcases an environment constructed from both real-world laser scanning data (Jamtal glacial valley - WGS84: 46.90° N, 10.17° E) and a synthetic CAD model of a sailing ship. Although the Jamtal scan depicts a riverbed, the original data were not acquired underwater and is only synthetically flooded. The ship was chosen because of the fine details of the ropes, which are well-suited for determining the quality of the reconstruction, and larger structured areas on the hull, where classic photogrammetric methods should perform well. In the simulation dataset the entire ship is submerged and large parts of the scene are submerged (up to 8 m depth), therefore the influence of refraction must be taken into account for an accurate reconstruction of these areas. The planar water surface serves as an idealized baseline to evaluate geometric refraction correction without the interference of dynamic wave patterns.
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Originalveröffentlichung
DOI: 10.48323/g3caa-er166
Zugehörige Institution(en) am KIT Institut für Photogrammetrie und Fernerkundung (IPF)
Publikationstyp Forschungsdaten
Publikationsdatum 25.02.2026
Identifikator KITopen-ID: 1000190978
Lizenz Creative Commons Namensnennung 4.0 International
Art der Forschungsdaten Dataset
Nachgewiesen in OpenAlex
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