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Underwater unexploded ordnance discrimination based on intrinsic target polarizabilities – A case study

Journal Article · · Geophysical Prospecting
 [1];  [2];  [3]
  1. Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
  2. Marine Advanced Robotics, Inc., Richmond, CA (United States)
  3. University of California, Berkeley, CA (United States)

Seabed unexploded ordnance that resulted partly from the high failure rate among munitions from more than 80 years ago and from decades of military training and testing of weapons systems poses an increasing concern all around the world. Although existing magnetic systems can detect clusters of debris, they are not able to tell whether a munition is still intact requiring special removal (e.g. in situ detonation) or is harmless scrap metal. The marine environment poses unique challenges, and transferring knowledge and approaches from land to a marine environment has not been easy and straightforward. On land, the background soil conductivity is much lower than the conductivity of the unexploded ordnance and the electromagnetic response of a target is essentially the same as that in free space. For those frequencies required for target characterization in the marine environment, the seawater response must be accounted for and removed from the measurements. The system developed for this study uses fields from three orthogonal transmitters to illuminate the target and four three-component receivers to measure the signal arranged in a configuration that inherently cancels the system's response due to the enclosing seawater, the sea–bottom interface and the air–sea interface for shallow deployments. The system was tested as a cued system on land and underwater in San Francisco Bay – it was mounted on a simple platform on top of a support structure that extended 1 m below and allowed the diver to place metal objects to a specific location even in low-visibility conditions. The measurements were stable and repeatable. Furthermore, target responses estimated from marine measurements matched those from land acquisition, confirming that the seawater and air–sea interface responses were removed successfully. Thirty-six channels of normalized induction responses were used for the classification, which was done by estimating the target principal dipole polarizabilities. Our results demonstrated that the system can resolve the intrinsic polarizabilities of the target, with clear distinctions between those of symmetric intact unexploded ordnance and irregular scrap metal. The prototype system was able to classify an object based on its size, shape and metal content and correctly estimate its location and orientation.

Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Grant/Contract Number:
AC02-05CH11231
OSTI ID:
2479288
Journal Information:
Geophysical Prospecting, Journal Name: Geophysical Prospecting Journal Issue: 1 Vol. 73; ISSN 0016-8025
Publisher:
WileyCopyright Statement
Country of Publication:
United States
Language:
English

References (13)

Application of a library based method to time domain electromagnetic data for the identification of unexploded ordnance journal March 2007
Offshore Unexploded Ordnance Detection and Data Quality Control—A Guideline journal January 2022
Estimating equivalent dipole polarizabilities for the inductive response of isolated conductive bodies journal June 2004
The Orthonormalized Volume Magnetic Source Model for Discrimination of Unexploded Ordnance journal August 2014
EMPACT 3D: an advanced EMI discrimination sensor for CONUS and OCONUS applications conference April 2018
UXO detection and identification based on intrinsic target polarizabilities — A case history journal January 2009
Unexploded ordnance discrimination using magnetic and electromagnetic sensors: Case study from a former military site journal May 2010
Robust Inversion of Time-domain Electromagnetic Data: Application to Unexploded Ordnance Discrimination journal September 2011
Dynamic advanced geophysical classification technology conference June 2021
Fast and accurate detection and classification subsurface targets using emerging sensors' data sets conference June 2021
Modeling and characterizing EMI response in a multilayered marine munitions site
  • Song, Lin-Ping; Billings, Stephen D.; Pasion, Leonard R.
  • Symposium on the Application of Geophysics to Engineering and Environmental Problems 2021 https://doi.org/10.4133/sageep.33-189
conference June 2021
ROV-based 3D-controlled source electromagnetics for UXO detection and classification conference June 2021
Time domain EMI responses for multilayer structure to enhance underwater UXO detection and classification
  • Shubitidze, Fridon; Barrowes, Benjamin; Maxson, Michele L.
  • Symposium on the Application of Geophysics to Engineering and Environmental Problems 2021 https://doi.org/10.4133/sageep.33-194
conference June 2021

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