Study on Roadbed Disease Recognition Algorithm Based on Support Vector Machine
Based on the principle of support vector machines as well as the analysis to the characteristics of roadbed diseases, a new GPR echo signal recognition algorithm is brought up. By using the proposed method to identify the ground-penetrating radar measured data, the test results show that this algorithm is better than the neural network recognition algorithm and overcomes the shortcomings of the local minimum value and over-learning. The algorithm is suitable for ground-penetrating radar signal recognition and is an efficient algorithm.
Support Vector Machine Roadbed Disease Ground Penetrating Radar Signal Recognition Algorithm
Zou Huasheng
College of Computer Science and Technology, Wenzhou University Wenzhou City, Zhejiang Province, China
国际会议
2009图像分析与信号处理国际会议(2009 International Conference on Image Analysis and Signal Processing)
浙江台州
英文
362-365
2009-04-11（万方平台首次上网日期，不代表论文的发表时间）