基于探地雷达数据的公路病害U-net识别应用Application of U-net Road Diseases Recognition Based on Ground Penetrating Radar Data
袁洪杰,殷浩,李大海
摘要(Abstract)：
探地雷达是探测公路路基内部隐性损伤的有效手段，具有数据采集速度快、分辨率高、抗干扰能力强等优点，但人工解译速度慢，解译水平参差不齐。以常见的公路路基空洞病害为例，总结了一种基于U-net神经网络进行探地雷达探测图像识别的方法，有效提高了探地雷达数据解译的速度和精度，在模拟数据集和实测地下空洞数据上都取得了较好的预测效果。
关键词(KeyWords)： 深度学习;U-net神经网络;探地雷达;地下空洞
基金项目(Foundation): 河南省自然资源厅2022年度省自然资源科研项目“郑州市国土空间规划地下智慧感知应用研究”（豫自然资函[2022]398号）
作者(Author): 袁洪杰,殷浩,李大海
参考文献(References)：
- [1]许明，张弓，王广涛，等.探地雷达图像异常检测方法研究及应用[J].中国煤炭地质，2023, 35(2):73-78.
- [2]吴国防.基于卷积神经网络的高速公路路面隐藏病害的识别研究[D].河南郑州：华北水利水电大学，2020.
- [3]沙爱民，蔡若楠，高杰，等.基于级联卷积神经网络的公路路基病害识别[J].长安大学学报（自然科学版），2019, 9(2):1-9.
- [4]GAO J, ZHANG H T, TONG Z. Recognition, location, measurement,and 3D reconstruction of concealed cracks using convolutional neural networks[J]. Construction and Building Materials, 2017, 146(16):775-787.
- [5]LI S, GU X, XU X, et al. Detection of concealed cracks from ground penetrating radar images based on deep learning algorithm[J]. Construction and Building Materials, 2021, 273(5):121-149.
- [6]GAO J, YUAN D, TONG Z, et al. Autonomous pavement distress detection using ground penetrating radar and region-based deep learning[J].Measurement, 2020, 164(1):44-53.
- [7]曾昭发.探地雷达方法原理及应用[M].北京：科学出版社，2006.
- [8]RONNEBERGER O,FISCHER P,BROX T. U-Net:Convolutional networks for biomedical image segmentation[C].//proceedings of the Medical Image Computing and Computer-Assisted Intervention. Cham:Springer International Publishing, 2015:234-241.
- [9]NAIR V, HINTON G E. Rectified linear units improve restricted Boltzmann machines[C].//Proceedings of the 27th International Conference on Machine Learning. Madison:Omnipress, 2010:807-814.
- [10]RUMELHART D E, HINTON G E, WILLIAMS R J. Learning representations by back-propagating errors[J]. Nature, 1986, 323(6088):533-536.
- [11]LECUN Y, BENGIO Y, HINTON G E. Deep learning[J]. Nature, 2015,521(7553):436-444.
- [12]WARREN C,GIANNOPOULOS A,GIANNAKIS I. gprMax:Open source software to simulate electromagnetic wave propagation for Ground Penetrating Radar[J]. Computer Physics Communications,2016,209(4):163-170.
- [13]王青，孙刚，欧阳伟.地质雷达在排水管道周边地下病害体探测中的应用[J].中国煤炭地质，2020, 32(6):74-77.
- [14]LECUN Y, BOTTOU L. Gradient-based learning applied to document recognition[J]. Proceedings of the IEEE, 1998, 86(11):2278-2324.
- [15]LONG J, SHELHAMER E, DARRELL T.Fully Convolutional Networks for Semantic Segmentation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, 39(4):640-651.
- [16]KINGMA D P, BA J. Adam:a method for stochastic optimization[EB/OL]. arXiv:1412.6980,2014.