Bayesian Approach to UXO Site Characterization with Incorporation of Geophysical Information

Abstract

UXO site characterization approaches are developed to assist decision makers in determining where additional characterization efforts need to be expended and where additional characterization is not effective. These decisions are based on limited transect data and require that without 100 percent site characterization there is a finite probability of leaving some UXO behind. One theoretical limitation of geostatistical approaches to estimation is the assumption that sample data exist in an unbounded domain. Contiguous transect data because of their close proximity to each other violate this assumption and can produce unwanted results in the estimates. The extent of these unwanted results are checked for a variety of transect sample designs on three simulated sites and the results show that the effects of the finite domain associated with transect data are negligible and traditional geostatistical estimation techniques can be applied.

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Document Details

Document Type
Technical Report
Publication Date
Dec 19, 2003
Accession Number
ADA480955

Entities

People

  • Hirotaka Saito
  • Sean A. Mckenna

Organizations

  • Sandia National Laboratories

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Bayesian Networks
  • Cell Size
  • Data Analysis
  • Data Sets
  • Databases
  • Detectors
  • Ecology
  • Estimators
  • Groundwater
  • Models
  • New Mexico
  • Probability
  • Spatial Distribution
  • Statistics
  • Unexploded Ammunition
  • Water Resources

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Applied Combinatorial Optimization and Logic Circuit Design.
  • Military/Explosive Ordnance Disposal (EOD) Technology

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms