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019 a| 1371248785;

035 a| (Sirsi) o1344380206;

035 a| (OCoLC)1344380206z| (OCoLC)1371248785;

049 a| EREE;

090 a| TR693;

100 1 a| Hill, Nicholas,e| author.=| ^A250422;

245 10 a| Low-cost photogrammetry system for georeferenced structure from motion /c| by Nicholas Hill.;

264 1 a| [Greenville, N.C.] :b| [East Carolina University],c| 2022.;

300 a| 1 online resource (105 pages) :b| illustrations (chiefly color);

336 a| textb| txt2| rdacontent;

337 a| computerb| c2| rdamedia;

338 a| online resourceb| cr2| rdacarrier;

347 a| text file;

347 b| PDF;

347 c| 4.139 MB;

538 a| System requirements: Adobe Reader.;

538 a| Mode of access: World Wide Web.;

502 b| M.S.c| East Carolina Universityd| 2022;

500 a| Presented to the Faculty of the Department of Engineering;

500 a| Advisor: Zhen Zhu;

500 a| Title from PDF t.p. (viewed April 17, 2024).;

520 3 a| Photogrammetry has become increasingly available as a tool for re-constructing the 3D model of real-world objects and terrain, which is referred to as the structure from motion (SFM) solution. The re-constructed model has three-dimensional colorized surfaces. Integration of geo-referenced data into SFM allows for precise geo-registration, scaling and orienting of the object. Today, industrial users of SFM typically acquire imagery from unmanned aerial vehicles (UAVs). UAV-based SFM relies on having a large number of ground control points that were surveyed ahead of time as the main source of geo-referenced data. The deployment and survey of ground control points are time consuming, and sometimes infeasible due to environmental constraints. A better solution is to gather location and/or orientation data of the camera in flight. A capable navigation device can record the precise location and orientation of the camera at the exact moment at which every image was taken. With that information, few or no ground control points are needed for geo-registration. However, the commercially available solutions of UAV-based SFM with an on-board navigator tend to be bulky and expensive. A low-cost, compact solution with open interfaces will be proposed in this work.;

504 a| Includes bibliographical references.;

650 0 a| Photogrammetry.=| ^A48030;

650 0 a| Three-dimensional modeling.=| ^A1318460;

650 0 a| Geographic information systems.=| ^A254808;

653 a| UAV;

653 a| GNSS;

653 a| LiDAR;

653 a| Open-Source;

655 7 a| dissertations.2| aat0| (CStmoGRI)aatgf300028029;

655 7 a| Academic theses.2| fast0| (OCoLC)fst01726453;

655 7 a| Academic theses.2| lcgft;

655 7 a| Thèses et écrits académiques.2| rvmgf0| (CaQQLa)RVMGF-000001173;

700 1 a| Zhu, Zhene| degree supervisor.=| ^A1347982;

710 2 a| East Carolina University.b| Department of Engineering.=| ^A1231592;

856 40 u| http://hdl.handle.net/10342/11098z| Access via ScholarShip;

949 o| wjh;

994 a| C0b| ERE;

596 a| 1 4;

998 a| 5909019;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 5909019-1001l| JNETm| JOYNERr| Ys| Yt| JNE3ETDu| 9/14/2022x| ETDz| JERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 5909019-2001l| HSLELECm| HSLr| Ys| Yt| HEETDu| 9/14/2022x| ETDz| HERESOURCE;

Low-cost photogrammetry system for georeferenced structure from motion / by Nicholas Hill.

Author/creator	Hill, Nicholas author.
Other author	Zhu, Zhen degree supervisor.
Other author	East Carolina University. Department of Engineering.
Format	Theses and dissertations
Publication	[Greenville, N.C.] : [East Carolina University], 2022.
Description	1 online resource (105 pages) : illustrations (chiefly color)
Supplemental Content	Access via ScholarShip
Subjects	Photogrammetry. Three-dimensional modeling. Geographic information systems.

Summary	Photogrammetry has become increasingly available as a tool for re-constructing the 3D model of real-world objects and terrain, which is referred to as the structure from motion (SFM) solution. The re-constructed model has three-dimensional colorized surfaces. Integration of geo-referenced data into SFM allows for precise geo-registration, scaling and orienting of the object. Today, industrial users of SFM typically acquire imagery from unmanned aerial vehicles (UAVs). UAV-based SFM relies on having a large number of ground control points that were surveyed ahead of time as the main source of geo-referenced data. The deployment and survey of ground control points are time consuming, and sometimes infeasible due to environmental constraints. A better solution is to gather location and/or orientation data of the camera in flight. A capable navigation device can record the precise location and orientation of the camera at the exact moment at which every image was taken. With that information, few or no ground control points are needed for geo-registration. However, the commercially available solutions of UAV-based SFM with an on-board navigator tend to be bulky and expensive. A low-cost, compact solution with open interfaces will be proposed in this work.
General note	Presented to the Faculty of the Department of Engineering
General note	Advisor: Zhen Zhu
General note	Title from PDF t.p. (viewed April 17, 2024).
Dissertation note	M.S. East Carolina University 2022
Bibliography note	Includes bibliographical references.
Technical details	System requirements: Adobe Reader.
Technical details	Mode of access: World Wide Web.
Genre/form	dissertations.
Genre/form	Academic theses.
Genre/form	Academic theses.
Genre/form	Thèses et écrits académiques.

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Low-cost photogrammetry system for georeferenced structure from motion / by Nicholas Hill.

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