Accession Number:

AD1053272

Title:

Final Report: Resolving and Discriminating Overlapping Anomalies from Multiple Objects in Cluttered Environments

Descriptive Note:

Technical Report,20 Aug 2008,19 Nov 2016

Corporate Author:

Dartmouth College Hanover United States

Report Date:

2015-12-15

Pagination or Media Count:

122.0

Abstract:

The primary objective of the project 55000-EV entitled Resolving and Discriminating Overlapping Anomalies from Multiple Objects in Cluttered Environments was to mitigate the effects of dispersed metallic clutter, to resolve the contribution of independent or coupled objects to the composite EMI data, and to discriminate each object of interest based on its response under more realistic field conditions. Specific objectives were 1. Research techniques that minimize the contribution of clutter by using upward projection methods on data acquired at field sites with instruments such as the MPV, TEMTADS, BUD, and GEM-3D 2. Develop an N-target locator that, without any computationally expensive optimizations, provides an estimate of the number of objects within in a sensors field of view and their locations and orientations. 3. Formulate robust classifiers that segregate N objects into UXO and non-UXO based on their isolated EMI responses. 4. Discriminate UXO-like targets using rigorous models NSMS, SEA which explicitly include coupling between targets if required.To address these objectives, under this project first we developed physically complete forward approaches Standardized Excitation Approach for understanding modeling targets EMI responses in great details. Normalized surface magnetic source model NSMS for EMI sensors data inversion and classification. Orthonormalized volume magnetic source model ONVMS for next generation EMI systems data analysis and subsurface multiple targets classification.

Subject Categories:

  • Ammunition and Explosives
  • Explosions

Distribution Statement:

APPROVED FOR PUBLIC RELEASE