Petri nets for modeling automated target recognition systems

Ernest L. Hall, Frank S. Cheng

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

Abstract

The application of Petri nets for modeling automated target recognition is proposed. This theory will permit the reformulation of automatic target recognition algorithms and paradigms into a modern scientific model that incorporates all the details of a realistic, complex scene. Petri nets have recently been studied and applied to a variety of applications. Their use permits the modeling of both information flow and physical material flow in an overall system model which clearly shows constraints, influences of variables on system performance, and results in a system which can be realized in hardware under software control. This proposed theory promises to revolutionize the model of command, communication and control currently used by integrating the three functions into one overall control system model. The theory has been demonstrated on two systems and the automatic target recognition problem is an ideal test bed for further study.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsDavid P. Casasent
Pages368-374
Number of pages7
StatePublished - 1995
EventIntelligent Robots and Computer Vision XIV: Algorithms, Techniques, Active Vision, and Materials Handling - Philadelphia, PA, USA
Duration: Oct 23 1995Oct 26 1995

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume2588
ISSN (Print)0277-786X

Conference

ConferenceIntelligent Robots and Computer Vision XIV: Algorithms, Techniques, Active Vision, and Materials Handling
CityPhiladelphia, PA, USA
Period10/23/9510/26/95

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