The possibilistic correlation-dependent fusion methods for optical detection

Authors:
Shaheera Rashwan;M. A. Ismail;Soheir Fouad
Affiliations:
Knowledge-Based Systems and Robotics Department, Informatics Research Institute, Mubarak City for Scientific Research, Alexandria, Egypt;Computer Science and Automatic Control Department, Faculty of Engineering, Alexandria University, Egypt;Computer Science and Automatic Control Department, Faculty of Engineering, Alexandria University, Egypt
Venue:
ISCGAV'09 Proceedings of the 9th WSEAS international conference on Signal processing, computational geometry and artificial vision
Year:
2009

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Abstract

Multi sensor fusion is an important component of applications for systems that use correlated data from multiple sensors to determine the state of a system. As the state of the system being monitored and many sensors are affected by the environmental conditions changing with time, the multi sensor fusion requires a correlation-dependent approach. The behavior of this approach should vary according to the correlation parameter. In this paper, we compare our possibilistic correlation-dependent fusion approach (PCDF) with the possiblistic combiner Dempster-Shafer. We focus in this paper on the mathematical background of this approach so that it can be used in many useful applications.