The problem of extracting surface crack information in mining area is studied. The unmanned aerial vehicle (UAV) image is used as the data source for multi-scale segmentation. The rule set is constructed based on the spectral and shape features of surface cracks. The object-oriented extraction of crack information is carried out by using the principle of fuzzy classification, and the surface crack information in mining area is successfully extracted. The extraction accuracy of surface cracks is evaluated by five indexes: automatic extraction number, extraction rate, automatic extraction total length, length extraction rate and position overlap rate. Through statistical analysis, the overall extraction rate of surface cracks by object-oriented technology reaches more than 80%, which proves that this method has high accuracy. This paper aims to explore an effective fracture extraction method suitable for the surface conditions of Jinchuan copper nickel mine. The feasibility of applying UAV technology to visual monitoring of surface cracks in goaf is confirmed.
Cite this paper
Geng, S. , Zhang, W. , Tian, S. , Zi, Y. , Miao, J. and Shen, R. (2022). Study on UAV Image Extraction of Surface Crack Information Technology in Goaf. Open Access Library Journal, 9, e8675. doi: http://dx.doi.org/10.4236/oalib.1108675.
Liu, Z.F. (2021) Study on Evolution Characteristics of Mining Response and Slope Angle Effect from Open Pit to Underground Mining. Jiangxi University of Science and Technology, Ganzhou.
Yang, F., Chang, J.F., Guo, Z.Y., et al. (2016) Study on Formation Mechanism of Ground Fissures Exploitation under Extremely Thick Igneous Rock Strata in Tiefa Mining Area. Journal of Seismological Research, 39, 101-106 181.
Wei, C.J.,Wang, Y.J., Wang, J., et al. (2012) The Technical Research of Extracting Ground Fissure Information in Mining Area with the UAV Image. Metal Mine, No. 10, 90-92 96.
Chen, C. and Hu, Z.Q. (2018) Research Advances in Formation Mechanism of Ground Crack due to Coal Mining Subsidence in China. Journal of China Coal Society, 43, 810-823.
Jo, D. and Kwon, Y. (2017) Analysis of VTOL UAV Propellant Technology. Journal of Computer and Communications, 5, 76-82. https://doi.org/10.4236/jcc.2017.57008
Lu, H., Li, Y.S. and Lin, X.C. (2011) Classification of High Resolution Imagery by Unmanned Aerial Vehicle. Science of Surveying and Mapping, 36, 106-108.
Fan, L.M., Ma, X.D., Li, Y.H., et al. (2017) Geological Disasters and Control Technology in High Intensity Mining Area of Western China. Journal of China Coal Society, 42, 276-285.
Zhou, W.T., Zhang, W.J., Yang, Y.J., et al. (2021) A Combined Model Prediction Method for Surface Subsidence Monitoring in Mining Areas. Journal of Geodesy and Geodynamics, 41, 308-312.
Gao, Y.L. (2009) Study on Geological Characteristics, Temporal and Spatial Evolution, Prospecting in the Depth and Border of Jinchun Deposit. Lanzhou University, Lanzhou.
