Classification of flowers by bats: comparison with the radar case

A Balleri, K Woodbridge, CJ Baker, MW Holderied

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

6 Citations (Scopus)


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.
Translated title of the contributionClassification of flowers by bats: comparison with the radar case
Original languageEnglish
Title of host publicationInternational Waveform Diversity and Design Conference Location: Kissimmee, FL
Pages1 - 3
Publication statusPublished - May 2009

Bibliographical note

Conference Proceedings/Title of Journal: IEEE Aerospace and Electronic Systems Magazine
Conference Organiser: SELEX; NORTHROP GRUMMAN; Capraro Technol; ANDRO Computat Solut; IEEE; AESS; Off Naval Res, Sci & Technol; APS; IEEE Geosci & Remote Sensing Soc


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