Abstract
Abstract. This study investigates the usability of low-attitude unmanned aerial vehicle (UAV) acquiring high resolution images for the geometry reconstruction of opencast mine. Image modelling techniques like Structure from Motion (SfM) and Patch-based Multiview Stereo (PMVS) algorithms are used to generate dense 3D point cloud from UAV collections. Then, precision of 3D point cloud will be first evaluated based on Real-time Kinematic (RTK) ground control points (GCPs) at point level. The experimental result shows that the mean square error of the UAV point cloud is 0.11 m. Digital surface model (DSM) of the study area is generated from UAV point cloud, and compared with that from the Terrestrial Laser Scanner (TLS) data for further comparison at the surface level. Discrepancy map of 3D distances based on DSMs shows that most deviation is less than ±0.4 m and the relative error of the volume is 1.55 %.
Highlights
Opencast mine is usually in a complex and changeable industrial environment that it is necessary to estimate the exploitation quantity and monitor mine safety
The scene relative error is less than 0.4%, which demonstrates that the proposed unmanned aerial vehicle (UAV) images reconstruction for disaster surveying is feasible and effective
4.1 3D point cloud model 3D dense point cloud is reconstructed with Structure from Motion (SfM) and Patch-based Multiview Stereo (PMVS)
Summary
Opencast mine is usually in a complex and changeable industrial environment that it is necessary to estimate the exploitation quantity and monitor mine safety. UAV images was utilized successfully to generate ortho-mosaic and digital terrain model (DTM) in landslide investigations and had achieved comparable results as compared to that of terrestrial laser scan data (Niethammer et al, 2011). 3D disaster scene was reconstructed from UAV images with flight control data (Shen et al , 2011). The scene relative error is less than 0.4%, which demonstrates that the proposed UAV images reconstruction for disaster surveying is feasible and effective. Digital surface models (DSMs) generated from UAV imagery and Terrestrial Laser Scanner (TLS) are compared in a cultural heritage (Eisenbeiss et al 2006). Cloud was compared with that from TLS data and the relative error was evaluated
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