Intelligent data fusion for wide-area assessment of UXO contamination |
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| Authors: | Kevin J Johnson Christian P Minor Verner N Guthrie Susan L Rose-Pehrsson |
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| Institution: | (1) US Naval Research Laboratory, Washington, DC 20375, USA;(2) Nova Research, Inc., Alexandria, VA 22308, USA;(3) US Army Topographic Engineering Center, Alexandria, VA 22315, USA |
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| Abstract: | The remediation of sites contaminated with unexploded ordnance (UXO) remains an area of intense focus for the Department of
Defense. Under the sponsorship of SERDP, data fusion techniques are being developed for use in enhancing wide-area assessment
UXO remediation efforts and a data fusion framework is being created to provide a cohesive data management and decision-making
utility to allow for more efficient expenditure of time, labor and resources. An important first step in this work is the
development of feature extraction utilities and feature probability density maps for eventual input to data fusion algorithms,
making data fusion of estimates of data quality, UXO-related features, non-UXO backgrounds, and correlations among independent
data streams possible. Utilizing data acquired during ESTCP’s Wide-Area Assessment Pilot Program, the results presented here
successfully demonstrate the feasibility of automated feature extraction from light detection and ranging, orthophotography,
and helicopter magnetometry wide-area assessment survey data acquired at the Pueblo Precision Bombing Range #2. These data
were imported and registered to a common survey map grid and UXO-related features were extracted and utilized to construct
survey site-wide probability density maps that are well-suited for input to higher level data fusion algorithms. Preliminary
combination of feature maps from the various data sources yielded maps for the Pueblo site that offered a more accurate UXO
assessment than any one data source alone.
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| Keywords: | Wide-area UXO Data fusion Feature selection |
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