An accurate tensor estimation function is a guarantee for acquiring a reliable underground electrical structure model. The past studies regarding transmission functions aim at obtaining smooth and continuous sounding curves through the time domain by data screening means such as least square, robust and remote reference processing methods as well as digital filtering techniques such as wavelet denoising, empirical mode decomposition and Hilbert–Huang transform denoising. As SNRs in different field measurement sites are different, if different data processing algorithms like single-site processing, remote reference processing, magnetic field correlation-based remote reference processing and magnetic channel sharing are used for data processing at the same measuring site, 3N-2 groups of sounding curves with different qualities will be obtained. Manual screening method has been mainly used in the past for screening of the abovementioned 3N-2 groups of sounding curves. If the quantity of sounding site is large, this manual screening method is of low efficiency without quantitative screening indexes. In this paper, discrete Fréchet distance is mainly utilized to carry out quantitative screening of 3N-2 groups of sounding curves processed through the abovementioned four processing methods in order to obtain smooth, continuous and reliable sounding curves, thus avoiding subjectivity and low efficiency problems in the past manual screening. A quantitative sorting of all kinds of data processing results can be conducted, and the optimal sounding curve is finally picked out for data inversion. The above sounding curve selection result has improved processing accuracy of magnetotelluric data.

中文翻译：

---

大地电磁测深曲线定量筛选方法的研究

准确的张量估计功能是获取可靠的地下电气结构模型的保证。过去有关传输函数的研究旨在通过数据筛选方法（例如最小二乘法，鲁棒性和远程参考处理方法）以及数字滤波技术（例如小波去噪，经验模式分解和希尔伯特-黄变换降噪。由于不同现场测量站点的SNR不同，因此如果在同一测量站点使用不同的数据处理算法（例如单站点处理，远程参考处理，基于磁场相关的远程参考处理和磁通道共享）进行数据处理，则3N-将获得两组质量不同的探测曲线。过去，手动筛选方法主要用于筛选上述3N-2组测深曲线。如果探测点数量多，则这种手动筛选方法效率低，没有定量筛选指标。本文主要利用离散Fréchet距离对通过上述四种处理方法处理后的3N-2组测深曲线进行定量筛选，以获得平滑，连续，可靠的测深曲线，从而避免了主观性和低效率的问题。过去的手动筛选。可以对各种数据处理结果进行定量分类，最后选择最佳探测曲线进行数据反演。上述探测曲线选择结果提高了大地电磁数据的处理精度。