Investigating best practices for Structure-from-Motion photogrammetry of turbid benthic environments
| dc.contributor.author | Savill, Kesia Louise | |
| dc.contributor.supervisor | Jennifer McIlwain | en_US |
| dc.contributor.supervisor | Iain Parnum | en_US |
| dc.contributor.supervisor | David Belton | en_US |
| dc.date.accessioned | 2023-06-23T01:38:20Z | |
| dc.date.available | 2023-06-23T01:38:20Z | |
| dc.date.issued | 2023 | en_US |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/92545 | |
| dc.description.abstract |
Turbid water environments represent 8-12% of the global continental shelf regions, representing a variety of benthic habitats with high ecosystem value. The aim of this thesis is to optimise Structure-from-Motion photogrammetry in turbid benthic environments. It was found that these environments require a camera with a large sensor size and resolution, custom settings to suit the conditions, photos taken at close range, and in certain cases image enhancement, to improve the accuracy of 3D models. | en_US |
| dc.publisher | Curtin University | en_US |
| dc.title | Investigating best practices for Structure-from-Motion photogrammetry of turbid benthic environments | en_US |
| dc.type | Thesis | en_US |
| dcterms.educationLevel | MRes | en_US |
| curtin.department | School of Molecular and Life Sciences | en_US |
| curtin.accessStatus | Open access | en_US |
| curtin.faculty | Science and Engineering | en_US |
| curtin.contributor.orcid | Savill, Kesia Louise [0000-0002-5507-6841] | en_US |