Spike Noise Reduction Method of Electrical Source Time-domain Ground-airborne Electromagnetic Data Based on Stationary Wavelet Transform

摘要：

　　To reduce the spike noise of the electrical source time-domain ground-airborne electromagnetic system, a denoising algorithm based on the stationary wavelet transform is proposed.Firstly, we decompose the data into detailed coefficients and approximated coefficients.Then we calculate the logarithmic slope and the threshold to identify the noise in the detailed coefficients and process the detailed coefficients to reduce the noise.Finally, the undisturbed data are restored by inverse stationary wavelet transform.The algorithm is verified using synthenic data and is applied in the real data collected at Qinshui coal mine in Shanxi, China.The results confirm that the spike noise can be effectively removed from the electrical source time-domain ground-airborne electromagnetic by using the proposed method.The interpretation result of the de-noised data can accurately reflect the underground information and remove the false anomaly.

关键词： Tme-domain ground-airborne electromagnetic system Stationary wavelet transform Spike noise

作者: Jiayue Gu Dongsheng Li Yanju Ji

作者单位: College of Instrumentation and Electrical Engineering, Jilin University, Changchun, Jilin, China College of Instrumentation and Electrical Engineering, Jilin University, Changchun, Jilin, China;Nat

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: 305-308

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）