Search and detection modeling of military imaging systems

Tana Maurer, Ronald G. Driggers, David L. Wilson

Research output: Contribution to journalConference articlepeer-review

24 Scopus citations


This paper provides an overview of research in search and detection modeling of military imaging systems. For more than forty-five years the US Army Night Vision and Electronic Sensors Directorate (NVESD) and others have been working to model the performance of infrared imagers in an effort to link imaging system design parameters to observer-sensor performance in the field. The widely used ACQUIRE model accomplished this by linking the minimum resolvable contrast of the sensor to field performance. From the original hypothesis put forth by John Johnson in 1958, to modeling time limited search, to modeling the impact of motion on target detection, to modeling target acquisition performance in different spectral bands, search has a wide and varied history. This paper will first describe the search-modeling task and then give a description of various topics in search and detection over the years. Some of the topics to be discussed will be classic search, clutter, computational vision models and the ACQUIRE model with its variants. It is hoped that this overview will provide both the novice and experienced search modeler alike with a useful summary and a glance at current issues and future challenges.

Original languageEnglish (US)
Article number27
Pages (from-to)201-215
Number of pages15
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 2005
Externally publishedYes
EventInfrared Imaging Systems: Design, Analysis, Modeling, and Testing XVI - Orlando, FL, United States
Duration: Mar 30 2005Apr 1 2005

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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