Sensing of unexploded ordnance with magnetometer and induction data: Theory and signal processing

Published

Journal Article

We consider the detection of subsurface unexploded ordnance via magnetometer and electromagnetic-induction (EMI) sensors. Detection performance is presented, using model-based signal processing algorithms. We first develop and validate the parametric models, using both numerical and measured data. These models are then applied in the context of feature extraction, and the features are processed via two signal-processing algorithms. The detection algorithms are discussed in detail, with comparisons made based on performance with measured magnetometer and EMI data. © 2003 IEEE.

Full Text

Duke Authors

Cited Authors

  • Zhang, Y; Collins, L; Yu, H; Baum, CE; Carin, L

Published Date

  • May 1, 2003

Published In

Volume / Issue

  • 41 / 5 PART 1

Start / End Page

  • 1005 - 1015

International Standard Serial Number (ISSN)

  • 0196-2892

Digital Object Identifier (DOI)

  • 10.1109/TGRS.2003.810922

Citation Source

  • Scopus