Title Comparison of supervised and unsupervised machine learning techniques for UXO classification using EMI data
Author Bijamov, A.; Shubitidze, F.; Fernández, J.P.; Shamatava, I.; Barrowes, B.E.; O'Neill, K.
Author Affil Bijamov, A., Dartmouth College, Thayer School of Engineering, Hanover, NH. Other: Sky Research; U. S. Army Cold Regions Research and Engineering Laboratory
Source Detection and sensing of mines, explosive objects, and obscured targets XVI, edited by R.S. Harmon, J.H. Holloway, Jr. and J.T. Broach. Proceedings of SPIE, the International Society for Optical Engineering, Vol.8017, Paper no. 801706. Publisher: SPIE, The International Society for Optical Engineering, Bellingham, WA, United States. ISSN: 0277-786X. CRREL Report No: ERDC/CRREL MP-11-7482
Publication Date 2011
Notes In English. 24 refs. GeoRef Acc. No: 309442
Index Terms classifications; design; explosives; instruments; military engineering; safety; statistical analysis; classification; cluster analysis; electromagnetic induction; military geology; mitigation; neural networks; risk assessment; risk management; unexploded ordnance
URL http://hdl.handle.net/10.1117/12.884076
Publication Type journal article
Record ID 65005836