Flower Classification by Bats: Radar Comparisons

Date

2009

Authors

Balleri, Alessio
Woodbridge, Karl
Baker, Christopher
Holderied, Marc W.

Journal Title

Journal ISSN

Volume Title

Publisher

Institute of Electrical and Electronics Engineers (IEEE Inc)

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.

Description

Keywords

Keywords: Classification performance; High-range resolution radar; Multi-perspective; Range resolution; Clutter (information theory); Mammals; Radar

Citation

Source

IEEE Aerospace and Electronic Systems Magazine

Type

Journal article

Book Title

Entity type

Access Statement

License Rights

Restricted until

2037-12-31