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.


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    Titel :

    Flower classification by bats: Radar comparisons


    Beteiligte:
    Balleri, A. (Autor:in) / Woodbridge, K. (Autor:in) / Baker, C.J. (Autor:in) / Holderied, M.W. (Autor:in)


    Erscheinungsdatum :

    01.05.2009


    Format / Umfang :

    2245045 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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