A Novel Platform and Workflow for Underwater Photogrammetry Surveys
| dc.contributor.author | Mufti, Alaa Anas | |
| dc.contributor.supervisor | Iain Parnum | en_US |
| dc.contributor.supervisor | David Belton | en_US |
| dc.date.accessioned | 2024-09-24T03:10:55Z | |
| dc.date.available | 2024-09-24T03:10:55Z | |
| dc.date.issued | 2024 | en_US |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/95945 | |
| dc.description.abstract |
This thesis addressed challenges in underwater photogrammetry by developing a collapsible pyramid-shaped camera calibration frame; and a Raspberry Pi-based survey platform, equipped with GNSS, pressure sensor, and echosounder. The accuracy of the 3D models produced from underwater photogrammetry surveys increased by 36% when using a calibration frame; and by 55% when using the GNSS-PPK position data. Resulting in seafloor 3D models with an accuracy 30-50 cm in the horizontal, and 8-18 cm in the vertical. | en_US |
| dc.publisher | Curtin University | en_US |
| dc.title | A Novel Platform and Workflow for Underwater Photogrammetry Surveys | en_US |
| dc.type | Thesis | en_US |
| dcterms.educationLevel | PhD | en_US |
| curtin.department | School of Earth and Planetary Sciences | en_US |
| curtin.accessStatus | Open access | en_US |
| curtin.faculty | Science and Engineering | en_US |
| curtin.contributor.orcid | Mufti, Alaa Anas [0000-0002-0248-8340] | en_US |