Investigating best practices for Structure-from-Motion photogrammetry of turbid benthic environments

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 req...

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Bibliographic Details
Main Author: Savill, Kesia Louise
Format: Thesis
Published: Curtin University 2023
Online Access:http://hdl.handle.net/20.500.11937/92545
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author Savill, Kesia Louise
author_facet Savill, Kesia Louise
author_sort Savill, Kesia Louise
building Curtin Institutional Repository
collection Online Access
description 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.
first_indexed 2025-11-14T11:38:34Z
format Thesis
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T11:38:34Z
publishDate 2023
publisher Curtin University
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-925452023-06-23T01:38:20Z Investigating best practices for Structure-from-Motion photogrammetry of turbid benthic environments Savill, Kesia Louise 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. 2023 Thesis http://hdl.handle.net/20.500.11937/92545 Curtin University fulltext
spellingShingle Savill, Kesia Louise
Investigating best practices for Structure-from-Motion photogrammetry of turbid benthic environments
title Investigating best practices for Structure-from-Motion photogrammetry of turbid benthic environments
title_full Investigating best practices for Structure-from-Motion photogrammetry of turbid benthic environments
title_fullStr Investigating best practices for Structure-from-Motion photogrammetry of turbid benthic environments
title_full_unstemmed Investigating best practices for Structure-from-Motion photogrammetry of turbid benthic environments
title_short Investigating best practices for Structure-from-Motion photogrammetry of turbid benthic environments
title_sort investigating best practices for structure-from-motion photogrammetry of turbid benthic environments
url http://hdl.handle.net/20.500.11937/92545