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Flower classification by bats: Radar comparisons

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4 Author(s)
Balleri, A. ; Dept. of Electron. & Electr. Eng., Univ. Coll. London, London, UK ; Woodbridge, K. ; Baker, C.J. ; Holderied, M.W.

In recent years, with the development of high-range resolution radars, the desire to identify targets under all weather and clutter conditions has become of great importance. This is an activity carried out with great success by echo-locating mammals such as nectar feeding bats that are able to detect and select flowers of bat-pollinated plants, even in a dense clutter environment. Herein, data consisting of acoustically-generated high-range resolution profiles of four bat-pollinated flower heads are analysed. Multi-perspective classification performance is assessed and compared with the radar case. There are close parallels that suggest lessons can be learnt from nature.

Published in:

Aerospace and Electronic Systems Magazine, IEEE  (Volume:24 ,  Issue: 5 )