Machine learning for the classification of unexploded ordnance (UXO) from electromagnetic data
Author:
Affiliation:
1. University of California Berkeley
2. University of British Columbia
3. Black Tusk Geophysics
Publisher
Society of Exploration Geophysicists
Link
https://library.seg.org/doi/pdf/10.1190/segam2020-3428369.1
Reference18 articles.
1. Implementing Advanced Classification on Munitions Response Sites: A Guide to Informed Decision Making for Project Managers, Regulators, and Contractors
2. Unexploded ordnance discrimination using magnetic and electromagnetic sensors: Case study from a former military site
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