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Hybrid architecture for acquisition, recognition, and fusion

  • US 20080162389A1
  • Filed: 12/08/2005
  • Published: 07/03/2008
  • Est. Priority Date: 12/08/2005
  • Status: Active Grant
First Claim
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1. A method comprising the steps of:

  • producing one or more signals representative of a feature of a target or area of interest;

    statistically processing the signals to produce one or more first hypotheses of the target or area of interest;

    comparing the first hypotheses to one or more templates in a template library to produce one or more second hypotheses, wherein if at least one of the templates does not match at least one of the first hypotheses, then retrieving at least one additional first hypothesis for comparison with the one or more templates;

    comparing the second hypotheses to one or more models in a model library to produce a target decision, wherein if at least one of the models does not match at least one of the second hypotheses, then retrieving at least one additional second hypothesis for comparison with the one or more models; and

    outputting the target decision identifying the target.

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