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

Author

Zhang, Yan ; Collins, Leslie ; Yu, Haitao ; Baum, Carl E. ; Carin, Lawrence

Author_Institution

Dept. of Electr. & Comput. Eng., Duke Univ., Durham, NC, USA

Volume

41

Issue

5

fYear

2003

fDate

5/1/2003 12:00:00 AM

Firstpage

1005

Lastpage

1015

Abstract

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.

Keywords

buried object detection; electromagnetic induction; feature extraction; signal processing; weapons; EMI; UXO; detection performance; feature extraction; induction data; magnetometer data; model-based signal processing; parametric models; subsurface unexploded ordnance; Context modeling; Detection algorithms; Electromagnetic interference; Electromagnetic measurements; Feature extraction; Magnetic sensors; Magnetometers; Parametric statistics; Signal processing; Signal processing algorithms;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing, IEEE Transactions on

Publisher

ieee

ISSN

0196-2892

Type

jour

DOI

10.1109/TGRS.2003.810922

Filename

1206724