Hybrid Filter for Ground Penetrating Radar Data Using Wavelet and Curvelet Transform

摘要：

　　To whiten noise and preserve the useful signal simultaneously, a new hybrid filter is developed for ground penetrating radar (GPR) data.This hybrid denoising scheme is combined with wavelet and curvelet transform.Based on unique features from single denoising scheme, the hybrid filter derivation for GPR data is presented.With a real field GPR data, the reconstructed results by single and hybrid denoising schemes are designed to demonstrate the accuracy and efficiency of the hybrid filter.The comparison with the single denoising method shows that the hybrid filter is capable of removing the random and coherent noises for complicated objects embedded in shallow medium.

关键词： hybrid filter GPR data wavelet transform curvelet transform denoising

作者: Jun Yang Jinghe Li Shujun Meng Xiaoqian Liao Wenjie Li Qin Fang

作者单位: College of Earth Sciences Guilin University of Technology Guilin, China

会议类型: 国际会议

会议名称: The 8th International Conference on Environmental and Engineering Geophysics (ICEEG 2018)(第八届环境与工程地球物理学国际会议)

会议地点: 杭州

会议语种:英文

页码: 477-480

在线出版日期: 2018-06-10（万方平台首次上网日期，不代表论文的发表时间）