Naslov
Genetic Algorithm for Feature Extraction in Landmine Detection

Autori
Antonić, Davor

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
2004 International Conference on Communications, Circuits And Systems / - Chengdu, 2004

Skup
2004 International Conference on Communications, Circuits And Systems

Mjesto i datum
Chengdu, Kina, 27.06.2004. - 29.06.2004

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
genetic algorithm; feature extraction; landmine detection

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo

POVEZANOST RADA