Abstract
The purpose of this study is to solve the problem that the image obtained by the advanced geological prediction technology of tunnel in the tunnel engineering construction project is difficult to identify, the identification result of the original image is too dependent on the personal habits and experience of the forecaster, and the identification result is not accurate enough. In this study, the geological radar image is taken as the research object, and the method of the advanced geological prediction technology of the tunnel is studied and summarized. The image pattern recognition technology is introduced into the advanced geological prediction of the tunnel, and the image recognition of the geological radar image is carried out. After preprocessing of filtering, binarization, and refinement, it is found that the image can be more accurate, and the impact of noise on the image is also alleviated. In addition, neural network pattern recognition technology is adopted after image preprocessing to establish a neural network model. After recognition, curve targets can be successfully detected, indicating the feasibility of image recognition technology. Therefore, the image recognition technology can make up for the deficiency of the observation personnel’s understanding of the geological radar image due to personal habits, and it provides a new way to identify the advanced geological prediction technology of the tunnel.
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This article is part of the Topical Collection on Geological Modeling and Geospatial Data Analysis
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Chen, H., Liu, S. Advanced geological prediction technology of tunnel based on image recognition. Arab J Geosci 12, 601 (2019). https://doi.org/10.1007/s12517-019-4832-z
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DOI: https://doi.org/10.1007/s12517-019-4832-z