Bat-pollinated plants: Feature extraction for target recognition in the natural world

Alessio Balleri*, Hugh Griffiths, Karl Woodbridge, Chris J. Baker, Marc Holderied

*Corresponding author for this work

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

6 Citations (Scopus)

Abstract

In recent years, with the development of high range resolution radars, the desire to be able to identify targets under all weather and clutter conditions has become of great importance. Bat-pollinated plants have evolved flowers to ease classification by nectar feeding bats even in a dense clutter environment. In this paper we analyze three real images of a Cobaea scandens corolla. These were collected by means of an acoustic radar capable of very high range resolution. The features of these flowers that allow high classification performance by bats are exploited. Results are discussed and related to the task of classification in radar systems.

Original languageEnglish
Title of host publication2009 International Radar Conference "Surveillance for a Safer World", RADAR 2009
Publication statusPublished - 1 Dec 2009
Event2009 International Radar Conference "Surveillance for a Safer World", RADAR 2009 - Bordeaux, France
Duration: 12 Oct 200916 Dec 2009

Conference

Conference2009 International Radar Conference "Surveillance for a Safer World", RADAR 2009
CountryFrance
CityBordeaux
Period12/10/0916/12/09

Keywords

  • Bat-pollinated plants
  • Echolocation
  • Feature extraction
  • Nectar feeding bats
  • Target classification

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