Investigating best practices for Structure-from-Motion photogrammetry of turbid benthic environments
Access Status
Open access
Date
2023Supervisor
Jennifer McIlwain
Iain Parnum
David Belton
Type
Thesis
Award
MRes
Metadata
Show full item recordFaculty
Science and Engineering
School
School of Molecular and Life Sciences
Collection
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.
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