Advanced UXO Detection/Discrimination Technology Demonstration-US Army Jefferson Proving Ground, Madison, Indiana

Cespedes, Ernesto R.

doi:10.21236/ada396483

Cited by 8 publications

(13 citation statements)

References 3 publications

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“…In addition, the blinded data had a disproportionately high percentage of 37mm targets where Channel 1 was excessively noisy over the target. 5 The eleven Millivolt rise in Figure 4 looks small in comparison to the Target shown therein. But Figure 3 reveals that almost the same portion of that transect after preprocessing.…”

Section: Preprocessingmentioning

confidence: 82%

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Discrimination of munitions and explosives of concern at F.E. warren afb using linear genetic programming

Francone¹,

Deschaine

Warren

2007

Proceedings of the 9th Annual Conference on Genetic and Evolutionary Computation

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Removing underground, unexploded bombs, mortars, cannonshells and other ordnance ("MEC" or "UXO") from former military ranges is difficult and expensive. The principal difficulty is discriminating intact, underground ordnance from other metallic items such as fragments of exploded ordnance ("Clutter"), magnetic rocks, and "historic" items such as horseshoes, barbed-wire, and refrigerators. This study represents the first, large-scale, blind-test of MEC discrimination technology on production-grade, survey-mode data from the cleanup of a real impact site. The results reported here significantly advance the state-of-the-art in MEC discrimination over alternative forwardmodeling/inversion approaches to performing MEC discrimination. We combined Linear Genetic Programming (LGP) and statistical analysis to process data from the cleanup of 600 acres of the F.E.Warren Air Force Base. These data contained almost 30,000 targets of interest identified by geophysicists, including three-hundred thirty-two 75mm projectiles (75mm) and 37mm projectiles (37mm). A little under one-third of the groundtruth was held back by the customer for blind-testing. Our task was to discriminate intact 37mm's and 75mm's from the clutter by ordering the targets from most-likely to be MEC to least-likely to be MEC in what is referred to as a "prioritized diglist". We identified all 75mm's by 28.2% of the way through our prioritized dig-list and all 37mm's by 64.2% of the way through the prioritized dig list. Thus, depending on ordnance type, we reduced the number of targets that had to be excavated (false alarms) to clear the entire site by between 35% and 72%.

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Section: Preprocessingmentioning

confidence: 82%

“…In a true ROC curve, the horizontal axis would show the portion of true-negatives excavated in the order of the prioritized dig-list [13]. We use the pseudo-ROC chart for display as that is the recommended DoD format for assessing rankings to MEC vs. not-MEC in remediation discrimination [5].…”

Section: MM Mec Resultsmentioning

confidence: 99%

Discrimination of munitions and explosives of concern at F.E. warren afb using linear genetic programming

Francone¹,

Deschaine

Warren

2007

Proceedings of the 9th Annual Conference on Genetic and Evolutionary Computation

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“…The JPG test site consisted of three areas referred to as Areas 1, 2, and 3 (Cespedes 2001). Each area is 1 hectare in size and contains known targets and clutter items.…”

Section: Test Site Descriptionmentioning

confidence: 99%

“…A : The target classification procedure performed on the JPG data by AETC for Geophex is based on estimating dipole model parameters from a number of GEM-3 measurements around a suspected target location (Cespedes 2001). While this classification procedure had worked well during previous demonstrations (Miller et al 2001), it did not work very well at JPG.…”

Section: Chapter 1 Introductionmentioning

confidence: 99%

Analysis of GEM-3 Data from the Advanced UXO Detection/Discrimination Technology Demonstration - U.S. Army Jefferson Proving Ground, Madison, Indiana

Goodson¹,

Bennett²,

Jr³

et al. 2002

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“…The stability of the system was evaluated through histograms and statistical analysis of data collected during the technology demonstration. Based on findings of the characteristics of the collected data (Cespedes 2001, ERDC 2002 and initial work performed on target detection and discrimination (Miller et al 2001), target detection and discrimination techniques were applied and evaluated.…”

Section: Introductionmentioning

confidence: 99%

Yuma Proving Ground GEM-3-E Data Collection

Bennett¹,

DeMoss²,

Fields³

et al. 2007

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This report documents the performance and operational capabilities of the GEM-3 system for the Advanced UXO Detection/Discrimination Technology Demonstration at the U.S. Army Yuma Proving Ground (YPG), Yuma, AZ. The data collection effort was conducted under the Department of the Army Research and Development DOBE4 (BA4) Technical Demonstration Program. Data analysis was conducted under the Department of the Army Research and Development DOE3 (BA3) Program. The objective was to evaluate the enhancements made to the GEM-3 system. Post-demonstration analysis focused on the functionality of the sensor system, the evaluation of the noise level of the data collected, improvements in target detection and discrimination, and positioning accuracy of the system. The stability of the system was evaluated through histograms and statistical analysis of data collected during the technology demonstration. Based on findings of the characteristics of the collected data and initial work performed on target detection and discrimination, target detection and discrimination techniques were applied and evaluated.

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Advanced UXO Detection/Discrimination Technology Demonstration-US Army Jefferson Proving Ground, Madison, Indiana

Cited by 8 publications

References 3 publications

Discrimination of munitions and explosives of concern at F.E. warren afb using linear genetic programming

Discrimination of munitions and explosives of concern at F.E. warren afb using linear genetic programming

Analysis of GEM-3 Data from the Advanced UXO Detection/Discrimination Technology Demonstration - U.S. Army Jefferson Proving Ground, Madison, Indiana

Yuma Proving Ground GEM-3-E Data Collection

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