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|
|Title of host publication||International Waveform Diversity and Design Conference Location: Kissimmee, FL|
|Pages||1 - 3|
|Publication status||Published - May 2009|
Bibliographical noteConference 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