Naslov
Model-Based Target Classification Using Spatial and Temporal Features of Metal Detector Response

Autori
Ambruš, Davorin ; Vasić, Darko ; Bilas, Vedran

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

Izvornik
Proceedings of the 2015 IEEE Sensors Applications Symposium, IEEE SAS 2015 / Bilas, Vedran ; Flammini, Alessandra - Piscataway (NJ) : Institute of Electrical and Electronics Engineers (IEEE), 2015, 310-315

ISBN
978-1-4799-6116-0

Skup
2015 IEEE Sensors Applications Symposium, IEEE SAS 2015

Mjesto i datum
Zadar, Hrvatska, 13.04.2015. - 15.04.2015

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
metal detection; sensor modelling; data inversion; magnetic polarizabilty tensor; target classification

Sažetak
The paper presents a novel model-based algorithm for classifying buried metallic targets using spatial and temporal response properties of a pulse induction metal detector mounted on a mobile robot for autonomous landmine detection. In the proposed approach, we firstly derive a simplified analytical model for spatial distribution of the primary magnetic field that corresponds to transmitter/receiver coil geometry of a given metal detector. The sensing head model is then coupled to a metallic target analytical dipole model whose parameters are the magnetic polarizability tensor and the target location. Finally, the forward sensor/target model is fitted to sensor data obtained by spatially mapping the suspected target area using a mobile robot. Inverted magnetic polarizability tensors corresponding to sensor data acquired at different time instances (gates) are used for target characterization and classification. The algorithm is experimentally evaluated on a dataset collected from a test site containing surrogate mines (metallic spheres) and clutter targets.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika

POVEZANOST RADA