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 language | English |
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Title of host publication | 2009 International Radar Conference "Surveillance for a Safer World", RADAR 2009 |
Publication status | Published - 1 Dec 2009 |
Event | 2009 International Radar Conference "Surveillance for a Safer World", RADAR 2009 - Bordeaux, France Duration: 12 Oct 2009 → 16 Dec 2009 |
Conference
Conference | 2009 International Radar Conference "Surveillance for a Safer World", RADAR 2009 |
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Country/Territory | France |
City | Bordeaux |
Period | 12/10/09 → 16/12/09 |
Keywords
- Bat-pollinated plants
- Echolocation
- Feature extraction
- Nectar feeding bats
- Target classification