TY - GEN
T1 - Sparse signal decomposition for ground penetrating radar
AU - Shao, Wenbin
AU - Bouzerdoum, Abdesselam
AU - Phung, Son Lam
PY - 2011
Y1 - 2011
N2 - In this paper, we present an adaptive approach for sparse signal decomposition, in which each GPR trace is decomposed into elementary waves automatically. A sparse feature vector is extracted from the decomposition and used for classification of railway ballast. The experimental results show that the proposed approach can represent the GPR signals efficiently, and effective features can be extracted for pattern classification.
AB - In this paper, we present an adaptive approach for sparse signal decomposition, in which each GPR trace is decomposed into elementary waves automatically. A sparse feature vector is extracted from the decomposition and used for classification of railway ballast. The experimental results show that the proposed approach can represent the GPR signals efficiently, and effective features can be extracted for pattern classification.
UR - http://www.scopus.com/inward/record.url?scp=80052514545&partnerID=8YFLogxK
U2 - 10.1109/RADAR.2011.5960579
DO - 10.1109/RADAR.2011.5960579
M3 - Conference contribution
AN - SCOPUS:80052514545
SN - 9781424489022
T3 - IEEE National Radar Conference - Proceedings
SP - 453
EP - 457
BT - RadarCon'11 - In the Eye of the Storm
T2 - 2011 IEEE Radar Conference: In the Eye of the Storm, RadarCon'11
Y2 - 23 May 2011 through 27 May 2011
ER -