Investigation of atmospheric insect wing-beat frequencies and iridescence features using a multi-spectral kHz remote detection system
(2014) Remote Sensing and Modeling of Ecosystems for Sustainability XI In Proceedings of SPIE - The International Society for Optical Engineering 9221.- Abstract
Quantitative investigation of insect activity in their natural habitat is a challenging task for entomologist. It is difficult to address questions such as flight direction, predation strength and overall activities using the current techniques such as traps and sweep nets. A multi-spectral kHz remote detection system using sunlight as an illumination source is presented. We explore possibilities of remote optical classification of insects based on their wing-beat frequencies and iridescence features. It is shown that the wing-beat frequency of the fast insect events can be resolved by implementing high sampling frequency. The iridescence features generated from the change of color in two channels (visible and near infrared) during... (More)
Quantitative investigation of insect activity in their natural habitat is a challenging task for entomologist. It is difficult to address questions such as flight direction, predation strength and overall activities using the current techniques such as traps and sweep nets. A multi-spectral kHz remote detection system using sunlight as an illumination source is presented. We explore possibilities of remote optical classification of insects based on their wing-beat frequencies and iridescence features. It is shown that the wing-beat frequency of the fast insect events can be resolved by implementing high sampling frequency. The iridescence features generated from the change of color in two channels (visible and near infrared) during wing-beat cycle is presented. We show that the shape of the wing-beat trajectory is different for different insects. The flight direction of atmospheric insect is also determined using silicon quadrant detector.
(Less)
- author
- Gebru, Alem ; Rohwer, Erich ; Neethling, Pieter and Brydegaard, Mikkel LU
- organization
- publishing date
- 2014
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Iridescence, Multi-band scattering, Optical cross-section, Quadrant detection, Remote dark-field detection, Stand-off detection, Wing-beat frequency
- host publication
- Remote Sensing and Modeling of Ecosystems for Sustainability XI
- series title
- Proceedings of SPIE - The International Society for Optical Engineering
- editor
- Wang, Jinnian ; Chang, Ni-Bin and Gao, Wei
- volume
- 9221
- article number
- 922106
- publisher
- SPIE
- conference name
- Remote Sensing and Modeling of Ecosystems for Sustainability XI
- conference location
- San Diego, United States
- conference dates
- 2014-08-18 - 2014-08-20
- external identifiers
-
- scopus:84922714593
- ISSN
- 0277-786X
- 1996-756X
- ISBN
- 9781628412482
- DOI
- 10.1117/12.2060827
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: © 2014 SPIE.
- id
- 2dfa0ab2-c4e3-4076-8729-de6d585ae04f
- date added to LUP
- 2025-12-01 12:14:32
- date last changed
- 2025-12-05 08:30:48
@inproceedings{2dfa0ab2-c4e3-4076-8729-de6d585ae04f,
abstract = {{<p>Quantitative investigation of insect activity in their natural habitat is a challenging task for entomologist. It is difficult to address questions such as flight direction, predation strength and overall activities using the current techniques such as traps and sweep nets. A multi-spectral kHz remote detection system using sunlight as an illumination source is presented. We explore possibilities of remote optical classification of insects based on their wing-beat frequencies and iridescence features. It is shown that the wing-beat frequency of the fast insect events can be resolved by implementing high sampling frequency. The iridescence features generated from the change of color in two channels (visible and near infrared) during wing-beat cycle is presented. We show that the shape of the wing-beat trajectory is different for different insects. The flight direction of atmospheric insect is also determined using silicon quadrant detector.</p>}},
author = {{Gebru, Alem and Rohwer, Erich and Neethling, Pieter and Brydegaard, Mikkel}},
booktitle = {{Remote Sensing and Modeling of Ecosystems for Sustainability XI}},
editor = {{Wang, Jinnian and Chang, Ni-Bin and Gao, Wei}},
isbn = {{9781628412482}},
issn = {{0277-786X}},
keywords = {{Iridescence; Multi-band scattering; Optical cross-section; Quadrant detection; Remote dark-field detection; Stand-off detection; Wing-beat frequency}},
language = {{eng}},
publisher = {{SPIE}},
series = {{Proceedings of SPIE - The International Society for Optical Engineering}},
title = {{Investigation of atmospheric insect wing-beat frequencies and iridescence features using a multi-spectral kHz remote detection system}},
url = {{http://dx.doi.org/10.1117/12.2060827}},
doi = {{10.1117/12.2060827}},
volume = {{9221}},
year = {{2014}},
}