Feature Extraction and Classification Methods for Ultra-Sonic and Radar Mine Detection

Hichem Sahli; Edgard Nyssen; Luc Van Kempen; Jan Cornelis

Feature Extraction and Classification Methods for Ultra-Sonic and Radar Mine Detection

Hichem Sahli, Edgard Nyssen, Luc Van Kempen, Jan Cornelis

Onderzoeksoutput: Conference paper

Samenvatting

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.

Originele taal-2	English
Titel	CESA'98, 2nd IEEE- IMACS Int. Multiconference on Computational Engineering in Systems Applications; Tunis, Tunisia, April 1-4,1998.
Uitgeverij	Second Int. Multiconference on Computational Engineering in Systems Applications (CESA 98), pp. 82 - 87, Tunis, Tunisia.
Pagina's	82-87
Aantal pagina's	6
Status	Published - 1 apr. 1998

Bibliografische nota

Second Int. Multiconference on Computational Engineering in Systems Applications (CESA 98), pp. 82 - 87, Tunis, Tunisia.

Citeer dit

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. (blz. 82-87). Second Int. Multiconference on Computational Engineering in Systems Applications (CESA 98), pp. 82 - 87, Tunis, Tunisia..

Sahli, Hichem ; Nyssen, Edgard ; Van Kempen, Luc et al. / Feature Extraction and Classification Methods for Ultra-Sonic and Radar Mine Detection. CESA'98, 2nd IEEE- IMACS Int. Multiconference on Computational Engineering in Systems Applications; Tunis, Tunisia, April 1-4,1998.. Second Int. Multiconference on Computational Engineering in Systems Applications (CESA 98), pp. 82 - 87, Tunis, Tunisia., 1998. blz. 82-87

@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.",

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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.. Second Int. Multiconference on Computational Engineering in Systems Applications (CESA 98), pp. 82 - 87, Tunis, Tunisia., blz. 82-87.

Feature Extraction and Classification Methods for Ultra-Sonic and Radar Mine Detection. / Sahli, Hichem ; Nyssen, Edgard ; Van Kempen, Luc et al.
CESA'98, 2nd IEEE- IMACS Int. Multiconference on Computational Engineering in Systems Applications; Tunis, Tunisia, April 1-4,1998.. Second Int. Multiconference on Computational Engineering in Systems Applications (CESA 98), pp. 82 - 87, Tunis, Tunisia., 1998. blz. 82-87.

Onderzoeksoutput: Conference paper

TY - GEN

T1 - Feature Extraction and Classification Methods for Ultra-Sonic and Radar Mine Detection

AU - Sahli, Hichem

AU - Nyssen, Edgard

AU - Van Kempen, Luc

AU - Cornelis, Jan

N1 - Second Int. Multiconference on Computational Engineering in Systems Applications (CESA 98), pp. 82 - 87, Tunis, Tunisia.

PY - 1998/4/1

Y1 - 1998/4/1

N2 - 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.

AB - 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.

M3 - Conference paper

SP - 82

EP - 87

BT - CESA'98, 2nd IEEE- IMACS Int. Multiconference on Computational Engineering in Systems Applications; Tunis, Tunisia, April 1-4,1998.

PB - Second Int. Multiconference on Computational Engineering in Systems Applications (CESA 98), pp. 82 - 87, Tunis, Tunisia.

ER -

Sahli H , Nyssen E , Van Kempen L , Cornelis J. 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.. Second Int. Multiconference on Computational Engineering in Systems Applications (CESA 98), pp. 82 - 87, Tunis, Tunisia. 1998. blz. 82-87

Feature Extraction and Classification Methods for Ultra-Sonic and Radar Mine Detection

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