A Seismic-Based Feature Extraction Algorithm for Robust Ground Target Classification.

IEEE Signal Processing Letters(2012)

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摘要
Seismic signal is widely used in ground target classification due to its inherent characteristics. However, its propagation is highly dependent on local underlying geology. It means that nearly every one geographical environment requires a unique classifier. To resolve the problem, this paper presents a robust feature extraction method Log-Sigmoid Frequency Cepstral Coefficients (LSFCC) which evol...
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关键词
Land vehicles,Geology,Seismic waves,Mel frequency cepstral coefficient,Filter banks,Roads,Feature extraction
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