Using a blackboard architecture or expert system to identify obfuscated targets from symptoms

Jeremy Straub

doi:10.1117/12.2177982

15 May 2015 Using a blackboard architecture or expert system to identify obfuscated targets from symptoms

Jeremy Straub

Author Affiliations +

Proceedings Volume 9454, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XX; 945408 (2015) https://doi.org/10.1117/12.2177982
Event: SPIE Defense + Security, 2015, Baltimore, MD, United States

Abstract

A variety of techniques exist for enhancing or inferring the existence and characteristics of an obscured or partially concealed target. Targets, however, may be completely blocked from view, presenting nothing to enhance and no image area to extend inferentially. Despite the difficulty, concealed (particularly intentionally) targets may be the most important to detect. This paper proposes a technique for using a Blackboard Architecture or Expert system to infer a target’s existence from symptoms (maneuvers of other units, water and soil deformation, etc.) and discusses the differences between the two approaches (Blackboard Architecture and expert system) for doing so.

Citation Download Citation

Jeremy Straub "Using a blackboard architecture or expert system to identify obfuscated targets from symptoms", Proc. SPIE 9454, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XX, 945408 (15 May 2015); https://doi.org/10.1117/12.2177982

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