Assessment of uav-photogrammetric mapping accuracy based on distance variations

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Date
2019-07
Authors
Mohd Amiruddin Bin Zahari
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Abstract
This project focus to study the structural geology properties of limestone and to determine the most effective distance variations for UAV mapping. The study area are located at two (2) different quarries which are Hume Quarry and CIMA Quarry. One window for every quarry with difference distances of 10 and 15 meter. The most common technique used to generate highly detailed DOMs are laser scanning and digital photogrammetry. Digital photogrammetry enables high resolution acquisition data with lower cost and more user friendly survey planning. By using UAV photogrammetry, the appropriate distance for every data is between 5-15 meter. The great advantage of actual UAV systems is the ability to provide a detail information to allow 3D photogrammetry to be modelled as the photo contains a coordinate which increase the accuracy for data collected. To analyze the photogrammetry method and to understand the criteria needed for geological mapping, an Unnamed Aerial Vehicle (UAV) was used for geotechnical mapping while Agisoft Photoscan, Discontinuity Set Extractor (DSE) in MATLAB software and CloudCompare were used to analyze the photogrammetry method before compared with manual mapping. It is believed that the difference of dominant joint and orientations shown in both method is due to that the software used difficult to detect the joint because lot of disturbance. There are some slope face that covered by soil. Both result from UAVDP and manual mapping show inagreement with each other. In conclusion, data extracted from DSE at 10 meter distance is more accurate than 15 meter distance. If the distance of drone and quarry face is far, the resolution of images will become lower which can affect the selection of discontinuity joint sets.
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