Three-dimensional mapping and modeling can contribute to knowledge about the real world. Techniques are largely driven by available technology and typically involve expensive equipment and expert skill. Recent advances have led to low-cost remotely sensed data collection and generation of 3D terrain models using Uninhabited Aerial Vehicles (UAV) and Structure from Motion (SfM) processing software. This research presents a low-cost alternative to 3D mapping by pairing UAV collection methods with three SfM processing techniques. Surface models are generated from the same image set captured from a low-cost UAV coupled with a digital camera. Accuracy of resulting models identifies strengths and weaknesses of each technique. Analysis of different slope ranges investigates the divide at which surfaces generated become less reliable. This research provides a deeper understanding of the strengths and limitations of emerging technologies used together in a fresh approach to photogrammetry.
|Advisor:||Wechsler, Suzanne P.|
|Commitee:||Laris, Paul, Lee, Christopher T.|
|School:||California State University, Long Beach|
|School Location:||United States -- California|
|Source:||MAI 53/06M(E), Masters Abstracts International|
|Subjects:||Geographic information science, Remote sensing|
|Keywords:||Photogrammetry, Structure from Motion, Uninhabited Aerial Vehicles|
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