Naslov
Method for determining Classification Significant Features from Acoustic Signature of Mine-like buried objects

Autori
Antonić, Davor ; Žagar, Mario

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

Izvornik
Proceedings of the 15th World Conference on Non-Destructive Testing / - Rim : WCNDT, 2000

Skup
15th World Conference on Non-Destructive Testing

Mjesto i datum
Rim, Italija, 15.10.2000. - 21.10.2000

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
feature extraction; signal analysis; classification; landmine detection

Sažetak
Good feature selection method is an essential step in a classification system. That is especially true for detection systems that have to deal with low signal-to-noise ratio, and varying background conditions, which is the case for landmine detection systems. Proposed method analyzes spectrum of a signal collected from the microphone placed inside the deminers prodder and extracts set of features with best discrimination ability. Feature selection is performed in two stages. First, huge initial set of near 2*10E4 features is reduced to approximately 100 features and from reduced set best feature subset is selected. Algorithm was successfully applied to the set of unified samples from different materials, as well as on the real landmines and harmless objects.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA