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Proceedings Paper

Detection of variable-depth nonmetallic mines using fuzzy logic
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Paper Abstract

This paper examines a technique for detection of antipersonnel mines with varied unknown depths. The method attempted in this study is based on a subtractive fuzzy logic algorithm. A comparison of the false alarm rate, the detection rate as well as the error rate is used to test the performance of the detection scheme in cases where the mine depth is both known and unknown. The effect of the a priori knowledge of the data on the execution of the detection scheme is observed, as well as the effect of the SNR level used to train the fuzzy logic detector. The algorithm is tested using real GPR data representing anti-personnel nonmetallic mine and other objects such as stone, brick, or a metallic sphere.

Paper Details

Date Published: 16 September 2003
PDF: 8 pages
Proc. SPIE 5094, Automatic Target Recognition XIII, (16 September 2003); doi: 10.1117/12.486805
Show Author Affiliations
Ashley Wesmiller, Layfette College (United States)
Ismail I. Jouny, Lafayette College (United States)


Published in SPIE Proceedings Vol. 5094:
Automatic Target Recognition XIII
Firooz A. Sadjadi, Editor(s)

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