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Environmentally Adaptive UXO Detection and Classification Systems

Descriptive Note:

Technical Report,15 Oct 2014,15 Mar 2016

Corporate Author:

Information Systems Technologies, Inc. Fort Collins United States

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Detection, classification, and remediation of military munitions and unexploded ordnance in shallow water is of utmost importance to many DoD agencies owing to the severity of threats they pose to humans and the environment. The problem is technically challenging due to variability in environmental conditions as well as obscuration of the munitions. Thus, new methods are needed to rapidly and reliably assess large areas that are potentially contaminated with munitions and detect, localize, and identify each individual threat with a high degree of accuracy. To this end, this research addresses an important shortcoming of the existing Automatic Target Recognition ATR algorithms that use sonar data by developing new environmentally adaptive algorithms for the detection and classification of military munitions in shallow underwater environments using data collected from low frequency broadband SAS systems.

Subject Categories:

  • Ammunition and Explosives
  • Acoustic Detection and Detectors

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