Flower classification by bats: Radar comparisons

Alessio Balleri; Karl Woodbridge; Chris Baker; Marc Holderied

doi:10.1109/MAES.2009.5109946

Flower classification by bats: Radar comparisons

Alessio Balleri^*, Karl Woodbridge, Chris Baker, Marc Holderied

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

9 Citations (Scopus)

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.

Original language	English
Article number	5109946
Pages (from-to)	4-7
Number of pages	4
Journal	IEEE Aerospace and Electronic Systems Magazine
Volume	24
Issue number	5
DOIs	https://doi.org/10.1109/MAES.2009.5109946
Publication status	Published - May 2009

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10.1109/MAES.2009.5109946

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Flower classification by bats: Radar comparisons

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