@inproceedings{c9d0d49cef574e75ad09c421bf34b129,
title = "Automatic classification of GPR signals",
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.",
keywords = "Classification, GPR, Magnitude spectrum, SVM",
author = "W. Shao and A. Bouzerdoum and Phung, \{S. L.\} and L. Su and B. Indraratna and C. Rujikiatkamjom",
year = "2010",
doi = "10.1109/ICGPR.2010.5550187",
language = "English",
isbn = "9781424446049",
series = "Proceedings of the 13th Internarional Conference on Ground Penetrating Radar, GPR 2010",
booktitle = "Proceedings of the 13th Internarional Conference on Ground Penetrating Radar, GPR 2010",
note = "13th Internarional Conference on Ground Penetrating Radar, GPR 2010 ; Conference date: 21-06-2010 Through 25-06-2010",
}