Paper:
Language: English:
Fuzzy Sensor Fusion for Humanitarian Demining
Zakarya Zyada*,**, Yasuhiro Kawai**, Takayuki Matsuno***,
and Toshio Fukuda**
*Mechanical Eng. Dept., Tanta Univ., Seberpay, Tanta, Egypt
**Micro-Nano System Eng. Dept., Nagoya Univ., 1 Furo-cho, Chikusa-ku, Nagoya 464-8603, Japan
***Dept. of Intelligent Systems Design Eng., Toyama Prefectural University, 5180 Kurokawa, Imizu-City, Toyama, Japan
Received: January 25, 2007
Accepted: May 2, 2007
Keywords: fuzzy learning, sensor fusion, humanitarian demining, GPR signal processing, decision making
Journal ref: Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.11, No.7 pp. 735-744, 2007
Abstract
In this paper, an automatic sensor-fusion based detection algorithm of an anti-personnel land mine is presented. A “feature in-decision out” fuzzy sensor fusion algorithm for a ground penetrating radar (GPR), and a metal detector (MD), for anti-personnel landmine detection is introduced. The inputs to the fuzzy fusion system are features extracted from both GPR and MD measurements. The output from the fuzzy fusion system is a decision if there is a land mine and at what depth it would be. Fuzzy fusion rules are extracted from training data through a fuzzy learning algorithm. Experimental test results are presented to demonstrate the validity of the proposed fuzzy fusion algorithm and hence its influence in minimizing the false alarm rate for humanitarian demining.
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