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Classification of Birds and UAVs Based on Radar Polarimetry

Torvik, B; Olsen, KE; Griffiths, H; (2016) Classification of Birds and UAVs Based on Radar Polarimetry. IEEE Geoscience and Remote Sensing Letters , 13 (9) pp. 1305-1309. 10.1109/LGRS.2016.2582538. Green open access

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Abstract

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.

Type: Article
Title: Classification of Birds and UAVs Based on Radar Polarimetry
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/LGRS.2016.2582538
Publisher version: http://doi.org/10.1109/LGRS.2016.2582538
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Birds, Radar cross-sections, Scattering, Radar polarimetry, Blades, Rotors
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/1533719
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