Abstract
We use the time-frequency analysis techniques for buried plastic landmine detection with a forward-looking Ground Penetrating Radar (GPR) system. Several time-frequency distributions are considered to characterize and interpret the scattering phenomena of both targets and clutter. An ambiguity function based detector is also proposed, which employs principal component analysis for data dimensionality reduction and linear discriminant analysis for feature selection. Experimental results based on the SRI (Stanford Research Institute) experimentally measured forward-looking GPR data are presented, showing a significant detection performance improvement over the conventional detector.
| Original language | English |
|---|---|
| Pages (from-to) | 851-862 |
| Number of pages | 12 |
| Journal | Proceedings of SPIE - The International Society for Optical Engineering |
| Volume | 5089 |
| Issue number | 2 |
| DOIs | |
| State | Published - 2003 |
| Event | PROCEEDINGS OF SPIE SPIE - The International Society for Optical Engineering: Detection and Remediation Technologies for Mines and Minelike Targets VIII - Orlando, FL, United States Duration: Apr 21 2003 → Apr 25 2003 |
Keywords
- Forward-looking Ground Penetrating Radar (GPR)
- LDA
- Mine detection
- Pattern recognition
- PCA
- Time-frequency analysis
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