地球物理学进展 ›› 2018, Vol. 33 ›› Issue (5): 2181-2186.doi: 10.6038/pg2018BB0408

• 应用地球物理学Ⅱ(海洋、工程、环境、仪器等) • 上一篇    下一篇

探地雷达多频数据融合算法研究

许献磊1(),方桂2,李俊鹏2,梁铭烨2,李泽华2   

  1. 1. 中国矿业大学(北京)煤炭资源与安全开采国家重点实验室,北京 100083
    2. 中国矿业大学(北京)地球科学与测绘工程学院,北京 100083
  • 收稿日期:2017-11-21 修回日期:2018-06-29 出版日期:2018-10-20 发布日期:2019-01-11
  • 作者简介:许献磊,男,1982年出生,副研究员,主要从事探地雷达技术研究.
  • 基金资助:
    国家自然科学基金资助项目(41504112);大学生创新训练项目(C201602011)

Research on multi-frequency data fusion algorithm for ground penetrating radar

XU Xian-lei1(),FANG Gui2,LI Jun-peng2,LIANG Ming-ye2,LI Ze-hua2   

  1. 1. State Key Laboratory of Coal Resources and Safe Mining of the China University of Mining and Technology (Beijing), Beijing 100083, China
    2. School of Earth Science and Surveying and Mapping of the China University of Mining and Technology (Beijing), Beijing 100083, China
  • Received:2017-11-21 Revised:2018-06-29 Online:2018-10-20 Published:2019-01-11

摘要:

探地雷达(GPR) 以其无损、快捷以及浅层高分辨率的优势被广泛应用于道路地下病害检测中.针对目前探地雷达技术在地下病害检测中存在的因探测精度低引起的目标误判、漏判等技术难题,本文提出了一种探地雷达多频数据融合算法.首先通过对不同频率雷达数据进行预处理,包括去噪、零点设定等,进而进行雷达图像的空间配准,在同一空间坐标系下建立不同频率雷达图像的空间对应关系,最后对配准后的图像进行变换处理和图像融合.以北京西六环模型基地地下空洞探测为例,应用上述方法对50 MHz、200 MHz和400 MHz雷达数据进行融合处理,并对融合效果进行评价,结果表明:该算法能有效的将不同频率雷达的信息数据进行融合,融合后雷达数据的信息熵和平均梯度指标相比于融合前均显著增加,融合后数据的均方根误差在10%以内.该技术综合利用不同频率数据信息来提高雷达数据的成像质量和图像解释的精确度,为道路安全提供技术支撑.

关键词: 探地雷达, 地下空洞, 多频, 数据融合算法, 融合评价

Abstract:

Ground Penetrating Radar (GPR) is widely used in underground disease detection with its non-destructive, convenience and high-resolution in shallow layer. Aiming to solve the problem of misjudgment and missed judgment due to the low detection accuracy in underground disease detection, a multi-frequency fusion algorithm for ground penetrating radar data is proposed in this paper. Firstly, the data of different frequency radar are pre-processed, including denoising, zero correction. Secondly, the spatial correspondence of different frequency radar images is established in the same spatial coordinate system by carrying out the spatial registration of radar image. Finally the registered image are transformed and fused. An experiment of the underground cavity detection is implemented in the model base in West Sixth Ring of Beijing, and the radar data at 50 MHz, 200 MHz and 400 MHz are evaluated by using the novel fusion algorithm. The results show that the algorithm can effectively fused the data information with different frequency. The information entropy and the mean gradient of the radar data are more significant increased than those before the data fusion, and the root mean square error of the fusion data is within 10%. This method can comprehensively make use of the different frequency data to improve the radar data image quality and image interpretation accuracy, providing technical support for road safety.

Key words: Ground Penetrating Radar(GPR), underground cavity, multi frequency, data fusion algorithm, fusion evaluation

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