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Transactions: WSEAS TRANSACTIONS ON SIGNAL PROCESSING
Transactions ID Number: 29-362
Full Name: Shaheera Rashwan
Position: Ph.D. Candidate
Age: ON
Sex: Female
Address: 125 bikbashi eissawee,Sidi Beshr,Alexandria
Country: EGYPT
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E-mail address: rshaheera@yahoo.com
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Title of the Paper: The Possibilistic Correlation-Dependent Fusion Methods for Optical Detection
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Number of paper pages: 10
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.
Keywords: Image Fusion, Correlation, T-Norm, Dempster Shafer, time-series images
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