Classification of flowers by bats: comparison with the radar case

A Balleri; K Woodbridge; CJ Baker; MW Holderied

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 proceeding › Conference Contribution (Conference Proceeding)

6 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.

Translated title of the contribution	Classification of flowers by bats: comparison with the radar case
Original language	English
Title of host publication	International Waveform Diversity and Design Conference Location: Kissimmee, FL
Pages	1 - 3
Volume	24(5)
Publication status	Published - 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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title = "Classification of flowers by bats: comparison with the radar case",

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.",

author = "A Balleri and K Woodbridge and CJ Baker and MW Holderied",

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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language = "English",

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T1 - Classification of flowers by bats: comparison with the radar case

AU - Balleri, A

AU - Woodbridge, K

AU - Baker, CJ

AU - Holderied, MW

N1 - 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

PY - 2009/5

Y1 - 2009/5

N2 - 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.

AB - 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.

M3 - Conference Contribution (Conference Proceeding)

VL - 24(5)

SP - 1

EP - 3

BT - International Waveform Diversity and Design Conference Location: Kissimmee, FL

ER -

Classification of flowers by bats: comparison with the radar case

Abstract

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