FSR vehicles classification system based on hybrid neural network with different data extraction methods
This paper evaluates the performance of Forward Scatter Radar classification system using as so called 'hybrid FSR classification techniques' based on three different data extraction methods which are manual, Principal Component Analysis (PCA) and z-score. By combining these data extractio...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2017
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| Subjects: | |
| Online Access: | View Fulltext in Publisher View in Scopus |