A Novel Platform and Workflow for Underwater Photogrammetry Surveys

Mufti, Alaa Anas

Mufti AA 2024 Public.pdf (3.691Mb)

Access Status

Open access

Authors

Mufti, Alaa Anas

Date

2024

Supervisor

Iain Parnum

David Belton

Type

Thesis

Award

PhD

Metadata

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Faculty

Science and Engineering

School

School of Earth and Planetary Sciences

URI

http://hdl.handle.net/20.500.11937/95945

Collection

Curtin Theses

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.