| Cost-Aware Design of a Discrimination Strategy for Unexploded Ordnance Cleanup |
25 Feb 2010 |
33 pages |
| Authors:
Jeremiah Remus; Leslie Collins; Stacy Tantum; Kenneth Morton; CLARKSON UNIV POTSDAM NY
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 | The objective of this project was to conduct a preliminary investigation into the potential benefit of awareness of the specific performance criterion (100% UXO detection) in each stage of the UXO discrimination processing strategy. This project consisted of several large-scale classification studies to carefully analyze the performance of different classification algorithms and the effects of training data when operating at 100% UXO detection. The various classification algorithms included in this ... |
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| Application of Markov Random Fields to Landmine Discrimination in Ground Penetrating Radar Data |
21 May 2008 |
28 pages |
| Authors:
Peter Torrione; Leslie Collins; DUKE UNIV DURHAM NC
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| Outline: * Consider various modeling techniques for GPR data * Incorporating statistical parameterization of transmission line models * Implications of proposed statistical model for pre-screener development * Results and Conclusions/Future Work |
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| Feature-based UXO Detection and Discrimination |
Mar 2008 |
33 pages |
| Authors:
Dean Keiswetter; Leslie Collins; Tom Furuya; Tom Bell; Chunmei Yang; Lorraine Godwin; ENVIRONMENTAL SECURITY TECHNOLOGY CERTIFICATION PROGRAM OFFICE (DOD) ARLINGTON VA
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| With current technology and survey practices, unexploded ordnance (UXO) site characterization is inefficient and incomplete. Not all buried UXO are routinely detected, and those that are cannot be routinely distinguished from other items in the ground that pose no risk (e.g., scrap metal objects and other artifacts), which leads to an enormous amount of expensive digging. Over the past decade, DoD has invested heavily in developing survey data analysis and ... |
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| Adaptive Multi-Modality Inverse Scattering for Targets Embedded in General Stochastic Environments |
10 Jan 2008 |
7 pages |
| Authors:
Lawrence Carin; Leslie Collins; Qing Liu; Alfred Hero; Waymond Scott; James McClellan; George Papanicolaou; DUKE UNIV DURHAM NC DEPT OF ELECTRICAL AND COMPUTER ENGINEERING
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| The program addressed development of adaptive detection and classification algorithms for multi-modal inverse problems. The research focused on the general problem of detection and classification of targets surrounded by dielectric layers and stochastically distributed scattering centers. Within the context of this overarching theme, the program addressed the particular applications of detecting and classifying obscured ground targets, landmines, and subsurface structures. In the research inverse scattering was defined broadly to represent ... |
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| Handheld UXO Sensor Improvements to Facilitate UXO/Clutter Discrimination. Volume 1 |
Nov-2007 |
119 pages |
| Authors:
Thomas Bell; Leslie Collins; SCIENCE APPLICATIONS INTERNATIONAL CORP (SAIC) CARY NC
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| This work was a collaborative effort between Duke University and SAIC (formerly AETC Incorporated). The final report consists of two volumes. This first volume gives a complete description of the overall effort as it evolved and culminated in a successful demonstration of IMU-based positioning of a handheld EM61 sensor for data collection to support target characterization of buried UXO. Volume 2 is a complete report of the supporting activities at ... |
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| Signal Processing and Modeling for UXO Detection and Discrimination in Highly Contaminated Sites |
Feb 2007 |
62 pages |
| Authors:
Leslie Collins; DUKE UNIV DURHAM NC
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| In this effort, we considered the problem of classifying closely spaced UXO. When two UXO are in close proximity, their signatures as measured by electromagnetic induction (EMI) sensors co-mingle, and traditional classification algorithms cannot be utilized. We explored the use of independent components analysis (ICA), a technique from the blind source separation (BSS) literature as a pre-processing step by which to separate the individual UXO signatures from the mixtures measured ... |
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