UCL logo

UCL Discovery

UCL home » Library Services » Electronic resources » UCL Discovery

Flower Classification by Bats: Radar Comparisons

Balleri, A; Woodbridge, K; Baker, CJ; Holderied, MW; (2009) Flower Classification by Bats: Radar Comparisons. IEEE AEROSPACE AND ELECTRONIC SYSTEMS MAGAZINE , 24 (5) 4 - 7.

Full text not available from this repository.

Abstract

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.

Type:Article
Title:Flower Classification by Bats: Radar Comparisons
Location:Kissimmee, FL
Keywords:NECTAR-FEEDING BATS, ECHOLOCATION, EVOLUTION
UCL classification:UCL > School of BEAMS > Faculty of Engineering Science > Electronic and Electrical Engineering

Archive Staff Only: edit this record