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Remote Sens. 2017, 9(5), 434; doi:10.3390/rs9050434

Potential Benefits of Combining Anomaly Detection with View Planning for UAV Infrastructure Modeling

1
Department of Chemical Engineering, Ira A. Fulton College of Engineering and Technology, Brigham Young University, 350 Clyde Building, Provo, UT 84602, USA
2
Department of Civil and Environmental Engineering, Ira A. Fulton College of Engineering and Technology, Brigham Young University, 368 Clyde Building, Provo, UT 84602, USA
*
Author to whom correspondence should be addressed.
Academic Editors: Gonzalo Pajares Martinsanz and Prasad S. Thenkabail
Received: 11 March 2017 / Revised: 19 April 2017 / Accepted: 28 April 2017 / Published: 3 May 2017
View Full-Text   |   Download PDF [7577 KB, uploaded 3 May 2017]   |  

Abstract

This paper presents a novel method for UAV-based 3D modeling of large infrastructure objects, such as pipelines, canals and levees, that combines anomaly detection with automatic on-board 3D view planning. The study begins by assuming that anomaly detections are possible and focuses on quantifying the potential benefits of the combined method and the view planning algorithm. A simulated canal environment is constructed, and several simulated anomalies are created and marked. The algorithm is used to plan inspection flights for the anomaly locations, and simulated images from the flights are rendered and processed to construct 3D models of the locations of interest. The new flights are compared to traditional flights in terms of flight time, data collected and 3D model accuracy. When compared to a low speed, low elevation traditional flight, the proposed method is shown in simulation to decrease total flight time by up to 55%, while reducing the amount of image data to be processed by 89% and maintaining 3D model accuracy at areas of interest. View Full-Text
Keywords: UAV; infrastructure monitoring; structure-from-motion; view planning; intrusion detection UAV; infrastructure monitoring; structure-from-motion; view planning; intrusion detection
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Martin, R.A.; Blackburn, L.; Pulsipher, J.; Franke, K.; Hedengren, J.D. Potential Benefits of Combining Anomaly Detection with View Planning for UAV Infrastructure Modeling. Remote Sens. 2017, 9, 434.

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