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          <dc:identifier>https://hdl.handle.net/2286/R.2.N.198685</dc:identifier>
                  <dc:rights>http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
          <dc:rights>http://creativecommons.org/licenses/by-nc-sa/4.0</dc:rights>
                  <dc:date>2024-12</dc:date>
                  <dc:format>37 pages</dc:format>
                  <dc:contributor>Lustyk, Luke</dc:contributor>
          <dc:contributor>Wende, Anthony</dc:contributor>
          <dc:contributor>Hentges, John</dc:contributor>
          <dc:contributor>Barrett, The Honors College</dc:contributor>
          <dc:contributor>Aviation Programs</dc:contributor>
                  <dc:type>Text</dc:type>
                  <dc:description>This thesis explored using Uncrewed Aerial Systems (UAS) for photogrammetry, specifically for large structures. The thesis aimed to improve practices for collecting and processing data to make the most accurate 3D model for a large structure possible. This was done by assessing past data to identify problems in data collection and figuring out how to fix those issues. Fixing the problems identified was the primary objective of the data collected, and the data was processed using Agisoft Metashape, Polycam, and Drone Deploy. The models were compared to determine effectiveness, and data collection challenges were demonstrated. Additionally, the thesis introduced Gaussian Splatting as a new method of 3D rendering and displayed the data collected as a 3D Gaussian Splat. The improved practices used ultimately showed increased 3D model accuracy and benefits to many industries using the technology.</dc:description>
                  <dc:subject>Photogrammetry</dc:subject>
          <dc:subject>Gaussian Splatting</dc:subject>
          <dc:subject>Uncrewed Aerial Systems (UAS)</dc:subject>
                  <dc:title>Photogrammetry Practices for Large Structures using Uncrewed Aerial Systems (UAS)</dc:title></oai_dc:dc></metadata></record></GetRecord></OAI-PMH>
