Classification of Birds and UAVs Based on Radar Polarimetry
| Autor: | Karl Erik Olsen, Hugh Griffiths, Borge Torvik |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Early-warning radar
Computer science 0211 other engineering and technologies Polarimetry Fire-control radar 02 engineering and technology Space-based radar law.invention Radar engineering details law Radar imaging 0202 electrical engineering electronic engineering information engineering Computer vision Electrical and Electronic Engineering Radar Low-frequency radar Radar MASINT Radar horizon 021101 geological & geomatics engineering Low probability of intercept radar Remote sensing Radar tracker Pulse-Doppler radar business.industry Scattering 020206 networking & telecommunications Geotechnical Engineering and Engineering Geology Radar lock-on Continuous-wave radar Inverse synthetic aperture radar Man-portable radar Bistatic radar 3D radar Artificial intelligence business Radar configurations and types |
| Zdroj: | IEEE Geoscience and Remote Sensing Letters. 13:1305-1309 |
| ISSN: | 1558-0571 1545-598X |
| DOI: | 10.1109/lgrs.2016.2582538 |
| Popis: | This letter aims to show the potential of using polarimetric parameters to distinguish between large birds and unmanned aerial vehicles (UAVs) of comparable size in the context of a modern long-range air defense radar. Time is a critical resource in such systems, and techniques for robust noncooperative target recognition not relying on spatial resolution or long dwell times are highly desired. Furthermore, methods less dependent on target micromotion are, in many cases, required. Methods exploiting polarimetric features are shown to have potential in both cases. An experiment in S-band shows that a simple nearest-neighbor classifier can achieve good separation between UAVs and birds both with and without detectable micromotion based on a set of polarimetric parameters alone. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|