Volumetric calculation using low cost unmanned aerial vehicle (UAV) approach

AEROS Conference 2017

Rahman, A.A. Ab^1 ; Maulud, K.N. Abdul^1,2 ; Mohd, F.A.^2 ; Jaafar, O.^2 ; Tahar, K.N.^3

Earth Observation Centre, Institute of Climate Change (IPI), Universiti Kebangsaan Malaysia, Bangi, Selangor

43600, Malaysia^1

Department of Civil and Structural Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, Selangor

43600, Malaysia^2

Department of Surveying Science and Geomatic, Faculty of Architecture, Planning and Surveying, Universiti Teknologi MARA, Malaysia^3

关键词: Control point;    Dimension Data;    Dimension measurements;    Error percentage;    General publics;    Quality measurements;    Satellite images;    Time consumption;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/270/1/012032/pdf
DOI  :  10.1088/1757-899X/270/1/012032

来源: IOP

【 摘 要 】

Unmanned Aerial Vehicles (UAV) technology has evolved dramatically in the 21stcentury. It is used by both military and general public for recreational purposes and mapping work. Operating cost for UAV is much cheaper compared to that of normal aircraft and it does not require a large work space. The UAV systems have similar functions with the LIDAR and satellite images technologies. These systems require a huge cost, labour and time consumption to produce elevation and dimension data. Measurement of difficult objects such as water tank can also be done by using UAV. The purpose of this paper is to show the capability of UAV to compute the volume of water tank based on a different number of images and control points. The results were compared with the actual volume of the tank to validate the measurement. In this study, the image acquisition was done using Phantom 3 Professional, which is a low cost UAV. The analysis in this study is based on different volume computations using two and four control points with variety set of UAV images. The results show that more images will provide a better quality measurement. With 95 images and four GCP, the error percentage to the actual volume is about 5%. Four controls are enough to get good results but more images are needed, estimated about 115 until 220 images. All in all, it can be concluded that the low cost UAV has a potential to be used for volume of water and dimension measurement.