Automatic Detection of UXO Magnetic Anomalies Using Extended Euler Deconvolution

نویسندگان

  • Kristofer Davis
  • Yaoguo Li
چکیده

The paper presents an algorithm for automatic detection of UXO anomalies in total-field magnetic data based on the concept of structural index (SI) of a magnetic anomaly. The magnetic field produced by a dipole-like source, such as a UXO, varies with inverse distance cubed and therefore has an SI of 3. Identifying magnetic anomalies having structural indices of 3 enables direct detection of potential UXO targets. The recently developed Hilbert based extended Euler deconvolution method (Nabighian and Hansen, 2001) provides an efficient means for calculating the SI and enables use to perform automatic anomaly based on computed SI.

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تاریخ انتشار 2005