國立虎尾科技大學 |

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

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Automated Mapping of Oblique Imagery Collected with Unmanned Vehicles in Coastal and Marine Environments./
Author:	Freeman, Jacob B.
Description:	1 online resource (209 pages)
Notes:	Source: Masters Abstracts International, Volume: 84-11.
Contained By:	Masters Abstracts International84-11.
Subject:	Environmental science. -
Online resource:	click for full text (PQDT)
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. - 1 online resource (209 pages)

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

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

Includes bibliographical references

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.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798379540616Subjects--Topical Terms:

1179128
Environmental science.
Subjects--Index Terms:

Remotely operated vehiclesIndex Terms--Genre/Form:

554714
Electronic books.

Automated Mapping of Oblique Imagery Collected with Unmanned Vehicles in Coastal and Marine Environments.
LDR:02489ntm a22003737 4500 001 1150241
005 20241028114725.5
006 m o d
007 cr bn ---uuuuu
008 250605s2023 xx obm 000 0 eng d
020 $a 9798379540616
035 $a (MiAaPQ)AAI30311787
035 $a AAI30311787
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Freeman, Jacob B. $3 1476687
245 1 0 $a Automated Mapping of Oblique Imagery Collected with Unmanned Vehicles in Coastal and Marine Environments.
264 0 $c 2023
300 $a 1 online resource (209 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Masters Abstracts International, Volume: 84-11.
500 $a Advisor: Skarke, Adam.
502 $a Thesis (M.S.)--Mississippi State University, 2023.
504 $a Includes bibliographical references
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.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2024
538 $a Mode of access: World Wide Web
650 4 $a Environmental science. $3 1179128
650 4 $a Ocean engineering. $3 857658
650 4 $a Physical oceanography. $3 1178843
653 $a Remotely operated vehicles
653 $a Unmanned aerial systems
653 $a Unmanned vehicles
655 7 $a Electronic books. $2 local $3 554714
690 $a 0768
690 $a 0547
690 $a 0415
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Mississippi State University. $b College of Arts and Sciences. $3 1476688
773 0 $t Masters Abstracts International $g 84-11.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30311787 $z click for full text (PQDT)