Referenced Items are not available for this document.
The maximum a posteriori (MAP) estimation concept is applied to the problem of object recognition with several distributed sensors. It is shown that in binary object recognition the MAP object recognition also minimizes the mean-square error. Simulation results show that the performance of the MAP object recognition is, in general, at least as good as the best performance by the sensors used
Published in:
Aerospace and Electronic Systems, IEEE Transactions on
(Volume:24
,
Issue:
3
)
Date of Publication: May 1988
- Page(s):
- 309 - 313
- ISSN :
- 0018-9251
- INSPEC Accession Number:
- 3232716
- Digital Object Identifier :
- 10.1109/7.192105
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- May 1988
- Sponsored by :
- Aerospace & Electronic Systems Society
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