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.