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Feasibility of Insect Identification Based on Spectral Fringes Produced by Clear Wings

Li, Meng LU orcid ; Runemark, Anna LU ; Guilcher, Noélie ; Hernandez, Julio ; Rota, Jadranka LU orcid and Brydegaard, Mikkel LU (2023) In IEEE Journal of Selected Topics in Quantum Electronics 29(4: Biophotonics). p.1-8
Abstract
Due to the growing awareness that insects' diversity and populations are in decline, there is an increased need for monitoring insects. Entomological lidars and photonic sensors can monitor and remotely identify flying insects based on their backscattered signal in terms of oscillations-, polarization-, and spectral content. The backscattered light from insects is predominantly oscillatory and derives from the wings. This part of the signal is also more coherent and co-polarized than the light reflected from the insect's abdomen. Clear membranes can display soap-bubble colors due to thin-film interference, a feature that can be associated with the thickness of the wing. A hyperspectral camera can capture these wing interference patterns... (More)
Due to the growing awareness that insects' diversity and populations are in decline, there is an increased need for monitoring insects. Entomological lidars and photonic sensors can monitor and remotely identify flying insects based on their backscattered signal in terms of oscillations-, polarization-, and spectral content. The backscattered light from insects is predominantly oscillatory and derives from the wings. This part of the signal is also more coherent and co-polarized than the light reflected from the insect's abdomen. Clear membranes can display soap-bubble colors due to thin-film interference, a feature that can be associated with the thickness of the wing. A hyperspectral camera can capture these wing interference patterns with hundreds of spectral bands and accurately identify the wing thickness. Here we investigate whether the spectral fringes can provide complementary information to aid remote species identification. We demonstrate that we can extract wing thickness and modulation depth information from spectral fringes of 87 species of common insect pollinators in Skåne, Sweden. The modulation depth of a fringe provides information related to insect wing thickness homogeneity, wrinkledness, or anti-reflectance features. Our results show that examined species display distinct modulation and wing thickness, and therefore such features can be used to improve the specificity of species identification of photonics sensors. (Less)
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author
; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Insects, Monitoring, Reflectivity, Laser radar, Cameras, Statistics, Sociology, Spectral fringe, pollinator, entomological lidar, wing thickness, hyperspectral, thin-film
in
IEEE Journal of Selected Topics in Quantum Electronics
volume
29
issue
4: Biophotonics
pages
1 - 8
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:85141570026
ISSN
1077-260X
DOI
10.1109/JSTQE.2022.3218218
language
English
LU publication?
yes
id
31079618-6120-4da1-bffe-f4d9312598d9
date added to LUP
2022-11-03 14:54:13
date last changed
2023-11-21 17:31:42
@article{31079618-6120-4da1-bffe-f4d9312598d9,
  abstract     = {{Due to the growing awareness that insects' diversity and populations are in decline, there is an increased need for monitoring insects. Entomological lidars and photonic sensors can monitor and remotely identify flying insects based on their backscattered signal in terms of oscillations-, polarization-, and spectral content. The backscattered light from insects is predominantly oscillatory and derives from the wings. This part of the signal is also more coherent and co-polarized than the light reflected from the insect's abdomen. Clear membranes can display soap-bubble colors due to thin-film interference, a feature that can be associated with the thickness of the wing. A hyperspectral camera can capture these wing interference patterns with hundreds of spectral bands and accurately identify the wing thickness. Here we investigate whether the spectral fringes can provide complementary information to aid remote species identification. We demonstrate that we can extract wing thickness and modulation depth information from spectral fringes of 87 species of common insect pollinators in Skåne, Sweden. The modulation depth of a fringe provides information related to insect wing thickness homogeneity, wrinkledness, or anti-reflectance features. Our results show that examined species display distinct modulation and wing thickness, and therefore such features can be used to improve the specificity of species identification of photonics sensors.}},
  author       = {{Li, Meng and Runemark, Anna and Guilcher, Noélie and Hernandez, Julio and Rota, Jadranka and Brydegaard, Mikkel}},
  issn         = {{1077-260X}},
  keywords     = {{Insects; Monitoring; Reflectivity; Laser radar; Cameras; Statistics; Sociology; Spectral fringe; pollinator; entomological lidar; wing thickness; hyperspectral; thin-film}},
  language     = {{eng}},
  number       = {{4: Biophotonics}},
  pages        = {{1--8}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{IEEE Journal of Selected Topics in Quantum Electronics}},
  title        = {{Feasibility of Insect Identification Based on Spectral Fringes Produced by Clear Wings}},
  url          = {{http://dx.doi.org/10.1109/JSTQE.2022.3218218}},
  doi          = {{10.1109/JSTQE.2022.3218218}},
  volume       = {{29}},
  year         = {{2023}},
}