A queuing model for designing multi-modality buried target detection systems: Preliminary results

Jordan M. Malof, Kenneth D. Morton, Leslie M. Collins, Peter A. Torrione

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Many remote sensing modalities have been developed for buried target detection, each one offering its own relative advantages over the others. As a result there has been interest in combining several modalities into a single detection platform that benefits from the advantages of each constituent sensor, without suffering from their weaknesses. Traditionally this involves collecting data continuously on all sensors and then performing data, feature, or decision level fusion. While this is effective for lowering false alarm rates, this strategy neglects the potential benefits of a more general system-level fusion architecture. Such an architecture can involve dynamically changing which modalities are in operation. For example, a large standoff modality such as a forward-looking infrared (FLIR) camera can be employed until an alarm is encountered, at which point a high performance (but short standoff) sensor, such as ground penetrating radar (GPR), is employed. Because the system is dynamically changing its rate of advance and sensors, it becomes difficult to evaluate the expected false alarm rate and advance rate. In this work, a probabilistic model is proposed that can be used to estimate these quantities based on a provided operating policy. In this model the system consists of a set of states (e.g., sensors employed) and conditions encountered (e.g., alarm locations). The predictive accuracy of the model is evaluated using a collection of collocated FLIR and GPR data and the results indicate that the model is effective at predicting the desired system metrics.

Original languageEnglish
Title of host publicationDetection and Sensing of Mines, Explosive Objects, and Obscured Targets XX
EditorsJason C. Isaacs, Steven S. Bishop
PublisherSPIE
ISBN (Electronic)9781628415704
DOIs
StatePublished - 2015
EventDetection and Sensing of Mines, Explosive Objects, and Obscured Targets XX - Baltimore, United States
Duration: Apr 20 2015Apr 23 2015

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9454
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceDetection and Sensing of Mines, Explosive Objects, and Obscured Targets XX
Country/TerritoryUnited States
CityBaltimore
Period04/20/1504/23/15

Keywords

  • Buried threat detection
  • Landmine detection
  • Queuing theory
  • Sensor fusion
  • Sensor management

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