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Automatic classification of GPR signals
Faculty of Informatics - Papers (Archive)
  • W Shao, University of Wollongong
  • A Bouzerdoum, University of Wollongong
  • S L Phung, University of Wollongong
  • L Su, University of Wollongong
  • B Indraratna, University of Wollongong
  • C Rujikiatkamjorn, University of Wollongong
Publication Date
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.

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.
Citation Information
W Shao, A Bouzerdoum, S L Phung, L Su, et al.. "Automatic classification of GPR signals" (2010) p. 1 - 6
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