3D MODELLING and ACCURACY ASSESSMENT of GRANITE QUARRY USING UNMMANNED AERIAL VEHICLE

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Abstract

The unmanned aerial vehicles (UAVs) are automated systems whose main characteristic is that can be remotely piloted. This property is especially interesting in those civil engineering works in which the accuracy of the model is not reachable by common aerial or satellite systems, there is a difficult accessibility to the infrastructure due to location and geometry aspects, and the economic resources are limited. This paper aims to show the research, development and application of a UAV that will generate georeferenced spatial information at low cost, high quality, and high availability. In particular, a 3D modelling and accuracy assessment of granite quarry using UAV is applied. With regard to the image-based modelling pipeline, an automatic approach supported by open source tools is performed. The process encloses the well-known image-based modelling steps: calibration, extraction and matching of features; relative and absolute orientation of images and point cloud and surface generation. Beside this, an assessment of the final model accuracy is carried out by means of terrestrial laser scanner (TLS), imaging total station (ITS) and global navigation satellite system (GNSS) in order to ensure its validity. This step follows a twofold approach: (i) firstly, using singular check points to provide a dimensional control of the model and (ii) secondly, analyzing the level of agreement between the realitybased 3D model obtained from UAV and the generated with TLS. The main goal is to establish and validate an image-based modelling workflow using UAV technology which can be applied in the surveying and monitoring of different quarries.

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González-Aguilera, D., Fernández-Hernández, J., Mancera-Taboada, J., Rodríguez-Gonzálvez, P., Hernández-López, D., Felipe-García, B., … Arias-Perez, B. (2012). 3D MODELLING and ACCURACY ASSESSMENT of GRANITE QUARRY USING UNMMANNED AERIAL VEHICLE. In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Vol. 1, pp. 37–42). Copernicus GmbH. https://doi.org/10.5194/isprsannals-I-3-37-2012

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