UXO vs. Non‐UXO Classificatoin Using a Polarizabilty Curve Voting Scheme
Author:
Affiliation:
1. Lawrence Berkeley National Lab, Berkeley, California,USA
Publisher
Environment and Engineering Geophysical Society
Reference12 articles.
1. Report on a workshop on electromagnetic induction methods for UXO detection and discrimination
2. UXO detection and identification based on intrinsic target polarizabilities — A case history
3. [Kappler, 2008] Kappler, K., 2008, An approach to UXO discrimination via polarizability curve‐matching and feature extraction applied to polariz‐ability curves: ‘Proceedings of SAGEEP, Philadelphia, PA.
4. [Khadr et al., 1998] Khadr, N., B. Barrow, T. Bell, and H. Nelson, 1998, Target shape classification using electromagnetic induction sensor data: UXO Forum, Citeseer, 5–7.
5. [Morrison et al., 2005] Morrison, F., T. Smith, A. Becker, and E. Gasperikova, 2005, Detection and Classification of Buried Metallic Objects: Technical report, CALIFORNIA UNIV BERKELEY LAWRENCE BERKELEY LAB.
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