Publication Details

CESAྞ, 2nd IEEE- IMACS Int. Multiconference on Computational Engineering in Systems Applications Tunis, Tunisia, April 1-4,1998.

Contribution To Book Anthology


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.