ESTCP Munitions Response Live Site Demonstration at Former Camp Beale, CA

Abstract

The LBNL group has developed a prototype of a hand-held UXO discriminator (14-in = 0.35 m cube) that is able to discriminate small (20 mm) UXO objects at a depth of 0.45 m and large (105 and 155 mm) UXO objects at the depth of 0.85 m from harmless scrap metal. This hand-held prototype incorporates the key features of the cart-mounted system: three orthogonal transmitters and ten pairs of receivers, and difference or gradient measurements that significantly reduce the ambient and motion noise, and greatly enhance the sensitivity to the gradients of the target. The system characterizes the target from a single position. A demonstration survey at a standard test site showed that the same discrimination capabilities afforded by the cart-mounted system are available in the hand-held unit, although with a slightly reduced depth of detection. To demonstrate the system performance at a live site, LBNL participated in the ESTCP UXO discrimination study at the former Camp Beale, Marysville, CA where the hand-held UXO discriminator was operated in the cued mode. The system was brought to marked locations (flags) and ran in the characterization/discrimination mode. The system had no positioning capability; hence data around the flag were acquired using a three or five-point template with the system oriented in a single direction. The survey took two weeks, and we occupied 900 flag locations within 18 grids selected by the program office. UXO and scrap discrimination and priority dig list were be done by Signal Innovations Group, Inc.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2012
Accession Number
ADA569720

Entities

People

  • Erika Gasperikova
  • Levi Kennedy
  • Todd Jobe
  • Vamsi Vytla
  • Xianyang Zhu

Organizations

  • University of California, Berkeley

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acquisition
  • Algorithms
  • Data Acquisition
  • Data Analysis
  • Demonstrations
  • Detection
  • Detectors
  • Feature Extraction
  • Feature Selection
  • Gaussian Distributions
  • Governments
  • Machine Learning
  • Probability
  • Semi-Supervised Learning
  • Supervised Machine Learning
  • United States
  • United States Government

Readers

  • Agricultural Chemistry/Soil Science
  • Computer Programming and Software Development.
  • Computer Vision.