摘要
提出采用支持向量机的方法对探地雷达检测的路基数据进行处理和分析,从而实现对路基病害识别的定量解释。使用该方法对现场采集到的探地雷达检测数据进行了处理和分析,结果表明,路基病害的识别准确度可以达到90%以上,证明支持向量机的方法在路基检测中具有较好的效果和较高的准确度。
This paper advances a method to use support vector machine （SVM） to process and analyze the roadbed detection data obtained by ground penetrating radar （GPR）, so as to achieve the quantity interpretation of roadbed disease recognition. Some actual roadbed detection data obtained by GPR was processed and analyzed by this method, and the results indicated that the nicety degree of roadbed disease recognition was up to above 90%, proved that the SVM method can result in good effect and high accurate degree in roadbed detection.
出处
《矿业研究与开发》
CAS
北大核心
2008年第2期78-80,共3页
Mining Research and Development
基金
国家自然科学基金重大项目资助(50490271)
关键词
探地雷达
支持向量机
路基检测
Ground Penetrating Radar, Support Vector Machine, Detection of Roadbed
