Feature-Based Target Detection and Classification in Passive ISAR Range-Crossrange Images
Kovács, Levente Attila and Manno-Kovács, Andrea Feature-Based Target Detection and Classification in Passive ISAR Range-Crossrange Images. In: Signal Processing Symposium (SPSympo).
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Abstract
We present a method for passive ISAR image analysis for target detection, feature extraction and shape-based classification without a priori target shape information. Results show that classification is possible with limited target samples.
| Item Type: | Conference or Workshop Item (Speech) |
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| Subjects: | Q Science > QA Mathematics and Computer Science Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány |
| Divisions: | Distributed Events Analysis Research Laboratory |
| Depositing User: | Andrea Manno-Kovács |
| Date Deposited: | 19 Jul 2017 13:06 |
| Last Modified: | 21 Jul 2019 13:58 |
| URI: | https://eprints.sztaki.hu/id/eprint/9177 |
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