吉林大学学报(地球科学版) ›› 2016, Vol. 46 ›› Issue (3): 876-883.doi: 10.13278/j.cnki.jjuese.201603301
朱凯光, 李玥, 孟洋, 王凌群, 谢宾, 程宇奇
Zhu Kaiguang, Li Yue, Meng Yang, Wang Lingqun, Xie Bin, Cheng Yuqi
摘要：
时间域航空电磁数据经预处理后，仍存在残余噪声，影响电磁探测对地下异常的识别能力。笔者提出一种基于最小噪声分离的去噪方法，将一组含噪电磁数据通过旋转矩阵线性变换为按照信噪比大小排列的最小噪声分离成分，利用信噪比较大的最小噪声分离成分重构电磁数据，以达到分离噪声的目的。仿真数据去噪结果表明：最小噪声分离不仅能够有效压制晚期道剖面噪声，还能准确分辨异常信息；晚期道信噪比较测线滤波提高了11.28 dB，实测数据的噪声水平也由±50 nT/s降低到±10 nT/s。
中图分类号:
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