The Impact of a Deep Learning Self-Adaptive Colour Restoration Pipeline for Deep Underwater Images in 3D Reconstruction
Underwater photogrammetry is challenged by image degradation caused by water absorption and scattering, which negatively impacts feature detection and 3D reconstruction quality. This study aims to evaluate the effectiveness of a Feedforward Neural Network-based colour correction method designed to e...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Copernicus Publications
2025-07-01
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| Serie: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Accesso online: | https://isprs-archives.copernicus.org/articles/XLVIII-2-W10-2025/309/2025/isprs-archives-XLVIII-2-W10-2025-309-2025.pdf |
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