Denoising controlled-source electromagnetic data using least-squares inversion
作者: Yang YangDiquan LiTiegang TongDong ZhangYatong ZhouYangkang Chen
来源数据库: SPIE-the International Society for Optical Engineering
DOI: 10.1190/geo2016-0659.1
关键词: Least-squaresnoisesignal processingelectromagneticswavelet
原始语种摘要: ABSTRACTStrong noise is one of the toughest problems in the controlled-source electromagnetic (CSEM) method, which highly affects the quality of recorded data. The three main types of noise existing in CSEM data are periodic noise, Gaussian white noise, and nonperiodic noise, among which the nonperiodic noise is thought to be the most difficult to remove. We have developed a novel and effective method for removing such nonperiodic noise by formulating an inverse problem that is based on inverse discrete Fourier transform and several time windows in which only Gaussian white noise exists. These critical locations, which we call reconstruction locations, can be found by taking advantage of the continuous wavelet transform (CWT) and the temporal derivative of the scalogram generated by CWT....
全文获取路径: SPIE 
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关键词翻译
关键词翻译
  • inversion 倒转
  • controlled 受控
  • least 最少的
  • source