Automatic classification of GPR signals

Authors

W Shao, University of WollongongFollow
A Bouzerdoum, University of WollongongFollow
S L. Phung, University of WollongongFollow
L Su, University of WollongongFollow
B Indraratna, University of WollongongFollow
C Rujikiatkamjorn, University of WollongongFollow

RIS ID

35320

Publication Details

Shao, W., Bouzerdoum, A., Phung, S. L., Su, L., Indraratna, B. & Rujikiatkamjorn, C. (2010). Automatic classification of GPR signals. 2010 13th International Conference on Ground Penetrating Radar (GPR) (pp. 1-6). USA: IEEE.

Abstract

Ground penetrating radar has been widely used in many areas. However, the processing and interpretation of acquired signals remains a challenging task since it requires experienced users to manage the whole operations. In this paper, we propose an automatic classification system to categorise GPR signals based on magnitude spectrum amplitudes and support vector machines. The system is tested on a real-world GPR data set. The experimental results show that our system can correctly distinguish ground penetrating radar signals reflected by different materials.