Flower Classification by Bats: Radar Comparisons.
IEEE AEROSPACE AND ELECTRONIC SYSTEMS MAGAZINE
4 - 7.
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.
|Title:||Flower Classification by Bats: Radar Comparisons|
|Keywords:||NECTAR-FEEDING BATS, ECHOLOCATION, EVOLUTION|
|UCL classification:||UCL > School of BEAMS > Faculty of Engineering Science
UCL > School of BEAMS > Faculty of Engineering Science > Electronic and Electrical Engineering
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