Sahli, H., Nyssen, E., Van Kempen, L., & Cornelis, J. (1998). Feature Extraction and Classification Methods for Ultra-Sonic and Radar Mine Detection. In CESA'98, 2nd IEEE- IMACS Int. Multiconference on Computational Engineering in Systems Applications; Tunis, Tunisia, April 1-4,1998. (pp. 82-87). Second Int. Multiconference on Computational Engineering in Systems Applications (CESA 98), pp. 82 - 87, Tunis, Tunisia..

@inproceedings{075e35edea734a6f91575328cb750539,
title = "Feature Extraction and Classification Methods for Ultra-Sonic and Radar Mine Detection",
abstract = "In this paper the problem of detecting buried anti-personnel mines is tackled in the broader context of a general classication problem: determining the likelihood of an unknown pattern (feature vector), extracted from the impulse radar or ultra sound signals, being part of a mine. In our approach two scenarios are considered. In a rst scenario we use a single classier with a mixed measurement vector, while in a second scenario a strategy for combining several classiers, using distinct features is explained.",
author = "Hichem Sahli and Edgard Nyssen and {Van Kempen}, Luc and Jan Cornelis",
note = "Second Int. Multiconference on Computational Engineering in Systems Applications (CESA 98), pp. 82 - 87, Tunis, Tunisia.",
year = "1998",
month = apr,
day = "1",
language = "English",
pages = "82--87",
booktitle = "CESA'98, 2nd IEEE- IMACS Int. Multiconference on Computational Engineering in Systems Applications; Tunis, Tunisia, April 1-4,1998.",
publisher = "Second Int. Multiconference on Computational Engineering in Systems Applications (CESA 98), pp. 82 - 87, Tunis, Tunisia.",
}