The detection of buried objects generally requires the discrimination between targets and clutters thought the EM signature of the object. Hoverer the signature la generally limited to the magnitude or just to single component of the fieid, making the detection problem tremendous difficult, especially when dealing with plastic target The purpose of the present work is to numerically investigate a new detection system, based on both the magnitude and phase of all the components of the field at high frequencies, together with a new wavelet post-processing. © 2006 IEEE.
A wavelet approach for the discrimination of buried objects / Araneo, Rodolfo; S., Barmada; Maradei, Francescaromana. - STAMPA. - (2006), pp. 31-31. (Intervento presentato al convegno 12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006 tenutosi a Miami; United States nel 30 April 2006 through 3 May 2006) [10.1109/cefc-06.2006.1632823].
A wavelet approach for the discrimination of buried objects
ARANEO, Rodolfo;MARADEI, Francescaromana
2006
Abstract
The detection of buried objects generally requires the discrimination between targets and clutters thought the EM signature of the object. Hoverer the signature la generally limited to the magnitude or just to single component of the fieid, making the detection problem tremendous difficult, especially when dealing with plastic target The purpose of the present work is to numerically investigate a new detection system, based on both the magnitude and phase of all the components of the field at high frequencies, together with a new wavelet post-processing. © 2006 IEEE.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
