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Title: Radiation and Electromagnetic Induction Data Fusion for Detection of Buried Radioactive Metal Waste - 12282

Abstract

At the United States Army's test sites, fired penetrators made of Depleted Uranium (DU) have been buried under ground and become hazardous waste. Previously, we developed techniques for detecting buried radioactive targets. We also developed approaches for locating buried paramagnetic metal objects by utilizing the electromagnetic induction (EMI) sensor data. In this paper, we apply data fusion techniques to combine results from both the radiation detection and the EMI detection, so that we can further distinguish among DU penetrators, DU oxide, and non- DU metal debris. We develop a two-step fusion approach for the task, and test it with survey data collected on simulation targets. In this work, we explored radiation and EMI data fusion for detecting DU, oxides, and non-DU metals. We developed a two-step fusion approach based on majority voting and a set of decision rules. With this approach, we fuse results from radiation detection based on the RX algorithm and EMI detection based on a 3-step analysis. Our fusion approach has been tested successfully with data collected on simulation targets. In the future, we will need to further verify the effectiveness of this fusion approach with field data. (authors)

Authors:
; ; ; ;  [1];  [2]
  1. Department of Electrical and Computer Engineering (United States)
  2. Institute for Clean Energy Technology, Mississippi State University, MS 39762 (United States)
Publication Date:
Research Org.:
WM Symposia, 1628 E. Southern Avenue, Suite 9-332, Tempe, AZ 85282 (United States)
OSTI Identifier:
22293563
Report Number(s):
INIS-US-14-WM-12282
TRN: US14V1219115087
Resource Type:
Conference
Resource Relation:
Conference: WM2012: Waste Management 2012 conference on improving the future in waste management, Phoenix, AZ (United States), 26 Feb - 1 Mar 2012; Other Information: Country of input: France; 12 refs.
Country of Publication:
United States
Language:
English
Subject:
12 MANAGEMENT OF RADIOACTIVE WASTES, AND NON-RADIOACTIVE WASTES FROM NUCLEAR FACILITIES; 46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; DEPLETED URANIUM; OXIDES; PARAMAGNETISM; PENETRATORS; RADIATION DETECTION; SENSORS; SIMULATION; WASTES

Citation Formats

Long, Zhiling, Wei, Wei, Turlapaty, Anish, Du, Qian, Younan, Nicolas H., and Waggoner, Charles. Radiation and Electromagnetic Induction Data Fusion for Detection of Buried Radioactive Metal Waste - 12282. United States: N. p., 2012. Web.
Long, Zhiling, Wei, Wei, Turlapaty, Anish, Du, Qian, Younan, Nicolas H., & Waggoner, Charles. Radiation and Electromagnetic Induction Data Fusion for Detection of Buried Radioactive Metal Waste - 12282. United States.
Long, Zhiling, Wei, Wei, Turlapaty, Anish, Du, Qian, Younan, Nicolas H., and Waggoner, Charles. 2012. "Radiation and Electromagnetic Induction Data Fusion for Detection of Buried Radioactive Metal Waste - 12282". United States.
@article{osti_22293563,
title = {Radiation and Electromagnetic Induction Data Fusion for Detection of Buried Radioactive Metal Waste - 12282},
author = {Long, Zhiling and Wei, Wei and Turlapaty, Anish and Du, Qian and Younan, Nicolas H. and Waggoner, Charles},
abstractNote = {At the United States Army's test sites, fired penetrators made of Depleted Uranium (DU) have been buried under ground and become hazardous waste. Previously, we developed techniques for detecting buried radioactive targets. We also developed approaches for locating buried paramagnetic metal objects by utilizing the electromagnetic induction (EMI) sensor data. In this paper, we apply data fusion techniques to combine results from both the radiation detection and the EMI detection, so that we can further distinguish among DU penetrators, DU oxide, and non- DU metal debris. We develop a two-step fusion approach for the task, and test it with survey data collected on simulation targets. In this work, we explored radiation and EMI data fusion for detecting DU, oxides, and non-DU metals. We developed a two-step fusion approach based on majority voting and a set of decision rules. With this approach, we fuse results from radiation detection based on the RX algorithm and EMI detection based on a 3-step analysis. Our fusion approach has been tested successfully with data collected on simulation targets. In the future, we will need to further verify the effectiveness of this fusion approach with field data. (authors)},
doi = {},
url = {https://www.osti.gov/biblio/22293563}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Jul 01 00:00:00 EDT 2012},
month = {Sun Jul 01 00:00:00 EDT 2012}
}

Conference:
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