UNDERWATER PHOTOGRAMMETRY IN VERY SHALLOW WATERS: MAIN CHALLENGES AND CAUSTICS EFFECT REMOVAL

12 citations as recorded by crossref.

1. DepthLearn: Learning to Correct the Refraction on Point Clouds Derived from Aerial Imagery for Accurate Dense Shallow Water Bathymetry Based on SVMs-Fusion with LiDAR Point Clouds P. Agrafiotis et al. 10.3390/rs11192225
2. Underwater Cultural Heritage Documentation Using Photogrammetry A. Calantropio & F. Chiabrando 10.3390/jmse12030413
3. Towards Benthic Habitat 3D Mapping Using Machine Learning Algorithms and Structures from Motion Photogrammetry H. Mohamed et al. 10.3390/rs12010127
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5. Overview of Underwater 3D Reconstruction Technology Based on Optical Images K. Hu et al. 10.3390/jmse11050949
6. Correcting Image Refraction: Towards Accurate Aerial Image-Based Bathymetry Mapping in Shallow Waters P. Agrafiotis et al. 10.3390/rs12020322
7. Underwater photogrammetry in Antarctica: long-term observations in benthic ecosystems and legacy data rescue P. Piazza et al. 10.1007/s00300-019-02480-w
8. Guidelines for Underwater Image Enhancement Based on Benchmarking of Different Methods M. Mangeruga et al. 10.3390/rs10101652
9. Learning from Synthetic Data: Enhancing Refraction Correction Accuracy for Airborne Image-Based Bathymetric Mapping of Shallow Coastal Waters P. Agrafiotis et al. 10.1007/s41064-021-00144-1
10. Seafloor-Invariant Caustics Removal From Underwater Imagery P. Agrafiotis et al. 10.1109/JOE.2023.3277168
11. Needs and Gaps in Optical Underwater Technologies and Methods for the Investigation of Marine Animal Forest 3D-Structural Complexity P. Rossi et al. 10.3389/fmars.2021.591292
12. Underwater photogrammetry for close‐range 3D imaging of dry‐sensitive objects: The case study of cephalopod beaks M. Roscian et al. 10.1002/ece3.7607