Investigation of atmospheric insect wing-beat frequencies and iridescence features using a multispectral kHz remote detection system
(2014) In Journal of Applied Remote Sensing 8.- Abstract
- Quantitative investigation of insect activity in their natural habitat is a challenging task for entomologists. 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 multispectral kHz remote detection system using sunlight as an illumination source is presented. We explore the 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 entomologists. 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 multispectral kHz remote detection system using sunlight as an illumination source is presented. We explore the 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 are presented. We show that the shape of the wing-beat trajectory is different for different insects. The flight direction of an atmospheric insect is also determined using a silicon quadrant detector. (C) 2014 Society of Photo-Optical Instrumentation Engineers (SPIE) (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/5063211
- author
- Gebru, Alem ; Rohwer, Erich ; Neethling, Pieter and Brydegaard, Mikkel LU
- organization
- publishing date
- 2014
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- stand-off detection, remote dark-field detection, iridescence, optical, cross-section, wing-beat frequency, quadrant detection, multiband, scattering
- in
- Journal of Applied Remote Sensing
- volume
- 8
- article number
- 083503
- publisher
- SPIE
- external identifiers
-
- wos:000348668800001
- scopus:84920687052
- ISSN
- 1931-3195
- DOI
- 10.1117/1.JRS.8.083503
- language
- English
- LU publication?
- yes
- id
- 5cb5abd3-75bf-434c-9690-a80b102527db (old id 5063211)
- date added to LUP
- 2016-04-01 13:25:10
- date last changed
- 2022-01-27 19:08:32
@article{5cb5abd3-75bf-434c-9690-a80b102527db,
abstract = {{Quantitative investigation of insect activity in their natural habitat is a challenging task for entomologists. 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 multispectral kHz remote detection system using sunlight as an illumination source is presented. We explore the 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 are presented. We show that the shape of the wing-beat trajectory is different for different insects. The flight direction of an atmospheric insect is also determined using a silicon quadrant detector. (C) 2014 Society of Photo-Optical Instrumentation Engineers (SPIE)}},
author = {{Gebru, Alem and Rohwer, Erich and Neethling, Pieter and Brydegaard, Mikkel}},
issn = {{1931-3195}},
keywords = {{stand-off detection; remote dark-field detection; iridescence; optical; cross-section; wing-beat frequency; quadrant detection; multiband; scattering}},
language = {{eng}},
publisher = {{SPIE}},
series = {{Journal of Applied Remote Sensing}},
title = {{Investigation of atmospheric insect wing-beat frequencies and iridescence features using a multispectral kHz remote detection system}},
url = {{https://lup.lub.lu.se/search/files/3356390/5147177.pdf}},
doi = {{10.1117/1.JRS.8.083503}},
volume = {{8}},
year = {{2014}},
}