Magnetic anomaly detection using high-order crossing method

Arie Sheinker, Boris Ginzburg, Nizan Salomonski, Phineas A. Dickstein, Lev Frumkis, Ben Zion Kaplan

Research output: Contribution to journalArticlepeer-review

77 Scopus citations

Abstract

Magnetic anomaly detection (MAD) is a passive method used to detect visually obscured ferromagnetic objects by revealing the anomalies in the ambient Earth magnetic field. In this paper, we propose a method for MAD employing the high-order crossing (HOC) approach, which relies on the magnetic background nature. HOC is an alternative method for spectral analysis using zero-crossing count, also enabling signal discrimination. Tests with real-world recorded magnetic signals show high detection probability even for low signal-to-noise ratio. The high detection probability, together with a simple implementation and low power consumption, makes the HOC method attractive for real-time MAD applications such as intruder detection and for research on an earthquake magnetic precursor.

Original languageEnglish
Article number6020783
Pages (from-to)1095-1103
Number of pages9
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume50
Issue number4
DOIs
StatePublished - 1 Apr 2012

Keywords

  • Adaptive filtering
  • high-order crossing (HOC)
  • magnetic anomaly detection (MAD)
  • remote sensing

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Earth and Planetary Sciences (all)

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