Detection of buried landmines using the possibilistic correlation-dependent fusion methods

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:
ISPRA'07 Proceedings of the 6th WSEAS International Conference on Signal Processing, Robotics and Automation
Year:
2007

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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 use time-series infrared images of landmines buried in different types of soil.