Classification of birds and UAVs based on radar polarimetry

Author
Torvik, Børge
Olsen, Karl Erik
Griffiths, Hugh
Date Issued
2016
Permalink
http://hdl.handle.net/20.500.12242/578
https://publications.ffi.no/123456789/578
DOI
10.1109/LGRS.2016.2582538
Collection
Articles
Description
Torvik, Børge; Olsen, Karl Erik; Griffiths, Hugh. Classification of birds and UAVs based on radar polarimetry. IEEE Geoscience and Remote Sensing Letters 2016 ;Volum 13.(9) s. 1305-1309
1396013.pdf
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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.
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