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Automated Mapping of Oblique Imagery...

Freeman, Jacob B.

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Automated Mapping of Oblique Imagery Collected with Unmanned Vehicles in Coastal and Marine Environments.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Automated Mapping of Oblique Imagery Collected with Unmanned Vehicles in Coastal and Marine Environments./
Author:	Freeman, Jacob B.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2023,
Description:	209 p.
Notes:	Source: Masters Abstracts International, Volume: 84-11.
Contained By:	Masters Abstracts International84-11.
Subject:	Environmental science. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30311787
ISBN:	9798379540616

Automated Mapping of Oblique Imagery Collected with Unmanned Vehicles in Coastal and Marine Environments.
Freeman, Jacob B.

Automated Mapping of Oblique Imagery Collected with Unmanned Vehicles in Coastal and Marine Environments. - Ann Arbor : ProQuest Dissertations & Theses, 2023 - 209 p.

Source: Masters Abstracts International, Volume: 84-11.

Thesis (M.S.)--Mississippi State University, 2023.

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.

ISBN: 9798379540616Subjects--Topical Terms:

677245
Environmental science.
Subjects--Index Terms:

Remotely operated vehicles

Automated Mapping of Oblique Imagery Collected with Unmanned Vehicles in Coastal and Marine Environments.
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245 1 0 $a Automated Mapping of Oblique Imagery Collected with Unmanned Vehicles in Coastal and Marine Environments.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2023
300 $a 209 p.
500 $a Source: Masters Abstracts International, Volume: 84-11.
500 $a Advisor: Skarke, Adam.
502 $a Thesis (M.S.)--Mississippi State University, 2023.
520 $a 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.
590 $a School code: 0132.
650 4 $a Environmental science. $3 677245
650 4 $a Ocean engineering. $3 660731
650 4 $a Physical oceanography. $3 3168433
653 $a Remotely operated vehicles
653 $a Unmanned aerial systems
653 $a Unmanned vehicles
690 $a 0768
690 $a 0547
690 $a 0415
710 2 $a Mississippi State University. $b College of Arts and Sciences. $3 3772205
773 0 $t Masters Abstracts International $g 84-11.
790 $a 0132
791 $a M.S.
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