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The correlation problem in sensor fusion in a possibilistic framework
Author(s) -
Grabisch Michel,
Prade Henri
Publication year - 2001
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/int.1059
Subject(s) - similarity (geometry) , sensor fusion , object (grammar) , computer science , information fusion , artificial intelligence , correlation , fusion , data mining , theoretical computer science , mathematics , image (mathematics) , philosophy , linguistics , geometry
This paper addresses the correlation problem which is central in sensor fusion, from the viewpoint of possibility theory. This problem aims at separating pieces of information pertaining to different objects and to gather those which are likely to pertain to the same object. We present two different views of the problem, one based on similarity relations, while the other discusses the problem in a logical framework. © 2001 John Wiley & Sons, Inc.