Genetic Algorithm for Feature Extraction in Landmine Detection (CROSBI ID 496698)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Antonić, Davor
engleski
Genetic Algorithm for Feature Extraction in Landmine Detection
A feature extraction method based on automatic feature generation and gradual reduction of the feature space using best search and genetic algorithm is described. Knowledge of the problem domain collected during reduction of the initial set of features is included into the implementation of the genetic algorithm. The fitness function for evaluation of the feature subsets is based on the Bayes classifier. The classifier is constructed for the particular feature subset using the training set of samples, and the classification ability of the particular feature subset is evaluated on samples from the test set. All generated feature subsets are stored, which allows further analysis and extraction of the best feature subsets with a different number of features. The proposed algorithm is tested on acoustic signatures of real landmines and other objects that can be found in a minefield.
genetic algorithm; feature extraction; landmine detection
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Podaci o prilogu
2004.
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objavljeno
Podaci o matičnoj publikaciji
2004 International Conference on Communications, Circuits And Systems
Chengdu:
Podaci o skupu
2004 International Conference on Communications, Circuits And Systems
predavanje
27.06.2004-29.06.2004
Chengdu, Kina