Digital Terrain Model extraction using digital aerial imagery of Unmanned Aerial Vehicle

Digital Terrain Model (DTM) is extensively applied in various fields such as surveying and construction engineering, natural disaster management system, structure monitoring, and many more. Generally, the demand on accuracy and very detail information of DTM extraction is crucial for most of the app...

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Hauptverfasser: Udin, W. S., Hassan, A. F., Ahmad, A., Tahar, K. N.
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description Digital Terrain Model (DTM) is extensively applied in various fields such as surveying and construction engineering, natural disaster management system, structure monitoring, and many more. Generally, the demand on accuracy and very detail information of DTM extraction is crucial for most of the applications. The advancement of photogrammetry and spin-off technology has advantageous in extracting highly accurate DTM. Currently, the DTM can be extracted from digital aerial imagery of small format camera mounted on light weight platform such as Unmanned Aerial Vehicle (UAV). The study is performs to assess the accuracy of DTM derived from UAV platform. Canon PENTAX W90 is utilized as non-metric camera for the earth information acquisition. In this study, 23 points of three dimensional coordinates (3D) were established using real time kinematic Global Positioning System (RTK-GPS) technique. Sixteen points are used in ground control point (GCP) for the purposes of aerial triangulation while seven as check point (CP) for accuracy assessment. The research output is then evaluated for planimetry and vertical accuracy using root mean square error (RMSE). Based on the analysis, sub-meter accuracy is obtained. As conclusion, UAV digital imagery can be used for accurate applications.
doi_str_mv 10.1109/CSPA.2012.6194732
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Accuracy
Calibration
digital aerial imagery
digital camera
Digital cameras
Digital elevation models
digital terrain model
Global Positioning System
Unmanned aerial vehicle
Unmanned aerial vehicles
title Digital Terrain Model extraction using digital aerial imagery of Unmanned Aerial Vehicle
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