A multiple hypothesis rule-based automatic target recognizer

  • John Wootton
  • James Keller
Knowledge-Based Methods
Part of the Lecture Notes in Computer Science book series (LNCS, volume 301)


The majority of automatic target recognizers undertaking field evaluation today owe their internal structure to a classical statistical approach. Although the dimensionality of the variable parameters that each system is subject to is large, little use is made of context and ancillary information such as time of day, sensor, weather conditions and intelligence data. Such ancillary data can be profitably used to alleviate the algorithmic burden of accommodating the extreme ranges of conditions.

Presented here is a novel approach to include ancillary knowledge into the control structure of an automatic target recognizer (ATR).


False Alarm Belief Function Basic Probability Assignment Ancillary Information Mission Objective 


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Copyright information

© Springer-Verlag Berlin Heidelberg 1988

Authors and Affiliations

  • John Wootton
    • 1
  • James Keller
    • 2
  1. 1.Carl Carpenter Gregory Hobson Emerson Electric Electronics and Space DivisionSt. Louis
  2. 2.Electrical and Computer Engineering DepartmentUniversity of Missouri-ColumbiaColumbia

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