Theses and Dissertations
Issuing Body
Mississippi State University
Advisor
Skarke, Adam
Committee Member
Cartwright, John
Committee Member
Meng, Qingmin
Committee Member
Dyer, Jamie L.
Date of Degree
5-12-2023
Document Type
Graduate Thesis - Open Access
Major
Environmental Geoscience
Degree Name
Master of Science (M.S.)
College
College of Arts and Sciences
Department
Department of Geosciences
Abstract
Recent technological advances in unmanned observational platforms, including remotely operated vehicles (ROVs) and small unmanned aerial systems (sUAS), have made them highly effective tools for research and monitoring within marine and coastal environments. One of the primary types of data collected by these systems is video imagery, which is often captured at an angle oblique to the Earth’s surface, rather than normal to it (e.g., downward looking). This thesis presents a newly developed suite of tools designed to digitally map oblique imagery data collected with ROV and sUAS in coastal and marine environments and quantitatively evaluates the accuracy of the resultant maps. Results indicate that maps generated from oblique imagery collected with unmanned vehicles have highly variable accuracy relative to maps generated with imagery data collected with conventional mapping platforms. These results suggest that resultant maps have the potential to match or even surpass the accuracy of maps generated with imagery data collected with conventional mapping platforms but realizing that potential is largely dependent upon careful survey design.
Recommended Citation
Freeman, Jacob B., "Automated mapping of oblique imagery collected with unmanned vehicles in coastal and marine environments" (2023). Theses and Dissertations. 5836.
https://scholarsjunction.msstate.edu/td/5836