COMPUTER VISION PHOTOGRAMMETRY FOR UNDERWATER ARCHAEOLOGICAL SITE RECORDING IN A LOW-VISIBILITY ENVIRONMENT

13 citations as recorded by crossref.

1. State of the art and applications in archaeological underwater 3D recording and mapping F. Menna et al. https://doi.org/10.1016/j.culher.2018.02.017
2. Underwater Cultural Heritage Documentation Using Photogrammetry A. Calantropio & F. Chiabrando https://doi.org/10.3390/jmse12030413
3. Su Altı Yapılarının 3B Modellemesi ve Dokümantasyonunda Kullanılan Video ve Fotoğraf Çekimi Yöntemlerinin Karşılaştırmalı Analizi S. HAMAL et al. https://doi.org/10.21597/jist.1086297
4. Development and field experiments of a human-portable towed ROV for high-speed and wide area data acquisition N. Sakagami et al. https://doi.org/10.1007/s10015-020-00616-4
5. A LIVING SHIPWRECK: An integrated three-dimensional analysis for the understanding of site formation processes in archaeological shipwreck sites M. Secci et al. https://doi.org/10.1016/j.jasrep.2020.102731
6. Survey and Recording Technologies in Italian Underwater Cultural Heritage: Research and Public Access Within the Framework of the 2001 UNESCO Convention M. Secci https://doi.org/10.1007/s11457-017-9174-y
7. A Method for Documenting Hidden Structures on Shipwrecks: the case of Vasa and Warwick K. Batchvarov https://doi.org/10.1111/1095-9270.12414
8. The Fahrdorf wreck: another large 12th-century cargo ship in the Schlei, northern Germany J. Enzmann et al. https://doi.org/10.4000/archaeonautica.1468
9. Dry‐lab benchmarking of a structure from motion workflow designed to monitor marine benthos in three dimensions I. Lochhead & N. Hedley https://doi.org/10.1111/phor.12370
10. Underwater photogrammetric monitoring techniques for mid-depth shipwrecks E. Aragón et al. https://doi.org/10.1016/j.culher.2017.12.007
11. Detection of Submerged Heritage: Application of an Unmanned Surface Vehicle Equipped With a High-Resolution Multibeam Echosounder R. López-Juanes et al. https://doi.org/10.1109/JSTARS.2026.3703461
12. Controlled experiment of underwater vision-based mapping: A preliminary evaluation F. Muhammad et al. https://doi.org/10.1088/1755-1315/925/1/012054
13. A Survey on Underwater Computer Vision S. González-Sabbagh & A. Robles-Kelly https://doi.org/10.1145/3578516