The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLVIII-M-9-2025
https://doi.org/10.5194/isprs-archives-XLVIII-M-9-2025-1475-2025
https://doi.org/10.5194/isprs-archives-XLVIII-M-9-2025-1475-2025
04 Oct 2025
 | 04 Oct 2025

Initial Experiments on the Use of Radiance Fields for Underwater 3D Reconstruction

Beatrice Tanduo, Francesca Matrone, and Arnadi Murtiyoso

Keywords: Underwater Photogrammetry, NeRF, 3D Gaussian Splatting, 3D Modelling, Submerged Archaeology

Abstract. Underwater photogrammetry presents unique challenges, including light attenuation, refraction, and turbidity, that affect the accuracy and quality of 3D reconstructions. This study investigates the performance of novel neural rendering techniques, Neural Radiance Fields (NeRF), SeaThru-NeRF, and 3D Gaussian Splatting (3DGS), in comparison to conventional Structure-from-Motion (SfM) workflows. Using a dataset acquired during the SIFET benchmark campaign on a submerged Roman archaeological site, we processed image data via Nerfacto, SeaThru, and Jawset Postshot (3DGS) and compared outputs against a reference model produced in Agisoft Metashape. Evaluation criteria included processing time, geometric accuracy (via M3C2 analysis), point cloud density and roughness, and point cloud completeness. Results show that radiance fields-based methods significantly reduce processing time while providing competitive visual results. SeaThru-NeRF demonstrated the highest geometric accuracy, benefiting from underwater-specific corrections, while 3DGS offered photorealistic rendering. These findings highlight the potential of neural methods for underwater cultural heritage documentation, though further improvements are needed in data fidelity and robustness under challenging underwater conditions.

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