Name
Title | ||
|---|---|---|
A Seismic-Based Feature Extraction Algorithm for Robust Ground Target Classification. |
Abstract | ||
|---|---|---|
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... |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/LSP.2012.2209870 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Land vehicles,Geology,Seismic waves,Mel frequency cepstral coefficient,Filter banks,Roads,Feature extraction | Mel-frequency cepstrum,Feature extraction algorithm,Pattern recognition,Geophone,Speech recognition,Feature extraction,Artificial intelligence,Seismic wave,Classifier (linguistics),Mathematics | Journal |
Volume | Issue | ISSN |
19 | 10 | 1070-9908 |
Citations | PageRank | References |
4 | 0.53 | 1 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qianwei Zhou | 1 | 45 | 6.53 |
| Guanjun Tong | 2 | 4 | 0.53 |
| Dongfeng Xie | 3 | 19 | 1.54 |
| Baoqing Li | 4 | 114 | 20.13 |
| Xiaobing Yuan | 5 | 6 | 1.23 |