Title :
Classification of ground penetrating radar echo signals using wavelet packet and RBF
Author :
Zhou, Wei ; Wang, Gaofeng ; Chen, Xi ; Chen, Mo ; Tian, Mao
Author_Institution :
Inst. of Microelectron. & Inf. Technol., Wuhan Univ., China
Abstract :
Ground penetrating radar (GPR) is an electromagnetic detecting device widely applied in geological survey. In practical application, the GPR echo signal shows non-stationary characteristic due to the inhomogeneous underground media. In order to identify the holes in the wall, the wavelet packet analysis is employed to extract feature vectors and the radial basis function (RBF) network is applied to classify the feature vectors. This proposed method is tested on GPR data and shows efficient classification result and promising practicability.
Keywords :
echo; electromagnetic devices; feature extraction; ground penetrating radar; inhomogeneous media; radar detection; radial basis function networks; signal classification; wavelet transforms; GPR; RBF network; echo signal classification; electromagnetic detecting device; feature extraction vector; geological survey; ground penetrating radar; inhomogeneous underground media; radial basis function; wavelet packet analysis; Data mining; Electromagnetic devices; Feature extraction; Geology; Ground penetrating radar; Nonhomogeneous media; Radar detection; Testing; Wavelet analysis; Wavelet packets;
Conference_Titel :
Radar, 2006 IEEE Conference on
Print_ISBN :
0-7803-9496-8
DOI :
10.1109/RADAR.2006.1631836
