Feature Extraction and Classification of Echo Signal of Ground Penetrating Radar
摘要
Automatic feature extraction and classification algorithm of echo signal of ground penetrating radar is presented. Dyadic wavelet transform and the average energy of the wavelet coefficients are applied in this paper to decompose and extract feature of the echo signal. Then, the extracted feature vector is fed up to a feed-forward multi-layer perceptron classifier. Experimental results based on the measured GPR echo signals obtained from the Mei-shan railway are presented.
引用本文(GB/T 7714)
Zhou, Hui-lin, Tian Tian, 等. Feature Extraction and Classification of Echo Signal of Ground Penetrating Radar[J]. Acta Scientiarum Naturalium Universitatis Sunyatseni, 2005.
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