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The fusion of information via fuzzy integrationMultisensor fusion is becoming increasingly important in intelligent computer vision systems. In this paper we present the generalized fuzzy integral with respect to an S-decomposable measure as a tool for fusing information from multiple sensors in an object recognition problem. Results from an experiment with automatic target recognition imagery are provided.
Document ID
19930020379
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Keller, James M. (Missouri Univ. Columbia, MO, United States)
Tahani, Hossein (Missouri Univ. Columbia, MO, United States)
Date Acquired
September 6, 2013
Publication Date
December 1, 1992
Publication Information
Publication: NASA. Johnson Space Center, North American Fuzzy Logic Processing Society (NAFIPS 1992), Volume 2
Subject Category
Theoretical Mathematics
Accession Number
93N29568
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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IDRelationTitle19930020367Collected WorksNorth American Fuzzy Logic Processing Society (NAFIPS 1992), volume 2
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