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Electromagnetic Model Reliably Predicts Radar Scattering Characteristics of Airborne Organisms
The radar scattering characteristics of aerial animals are typically obtained from controlled laboratory measurements of a freshly harvested specimen. These measurements are tedious to perform, difficult to replicate, and typically yield only a small subset of the full azimuthal, elevational, and po...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5071894/ https://www.ncbi.nlm.nih.gov/pubmed/27762292 http://dx.doi.org/10.1038/srep35637 |
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author | Mirkovic, Djordje Stepanian, Phillip M. Kelly, Jeffrey F. Chilson, Phillip B. |
author_facet | Mirkovic, Djordje Stepanian, Phillip M. Kelly, Jeffrey F. Chilson, Phillip B. |
author_sort | Mirkovic, Djordje |
collection | PubMed |
description | The radar scattering characteristics of aerial animals are typically obtained from controlled laboratory measurements of a freshly harvested specimen. These measurements are tedious to perform, difficult to replicate, and typically yield only a small subset of the full azimuthal, elevational, and polarimetric radio scattering data. As an alternative, biological applications of radar often assume that the radar cross sections of flying animals are isotropic, since sophisticated computer models are required to estimate the 3D scattering properties of objects having complex shapes. Using the method of moments implemented in the WIPL-D software package, we show for the first time that such electromagnetic modeling techniques (typically applied to man-made objects) can accurately predict organismal radio scattering characteristics from an anatomical model: here the Brazilian free-tailed bat (Tadarida brasiliensis). The simulated scattering properties of the bat agree with controlled measurements and radar observations made during a field study of bats in flight. This numerical technique can produce the full angular set of quantitative polarimetric scattering characteristics, while eliminating many practical difficulties associated with physical measurements. Such a modeling framework can be applied for bird, bat, and insect species, and will help drive a shift in radar biology from a largely qualitative and phenomenological science toward quantitative estimation of animal densities and taxonomic identification. |
format | Online Article Text |
id | pubmed-5071894 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-50718942016-10-26 Electromagnetic Model Reliably Predicts Radar Scattering Characteristics of Airborne Organisms Mirkovic, Djordje Stepanian, Phillip M. Kelly, Jeffrey F. Chilson, Phillip B. Sci Rep Article The radar scattering characteristics of aerial animals are typically obtained from controlled laboratory measurements of a freshly harvested specimen. These measurements are tedious to perform, difficult to replicate, and typically yield only a small subset of the full azimuthal, elevational, and polarimetric radio scattering data. As an alternative, biological applications of radar often assume that the radar cross sections of flying animals are isotropic, since sophisticated computer models are required to estimate the 3D scattering properties of objects having complex shapes. Using the method of moments implemented in the WIPL-D software package, we show for the first time that such electromagnetic modeling techniques (typically applied to man-made objects) can accurately predict organismal radio scattering characteristics from an anatomical model: here the Brazilian free-tailed bat (Tadarida brasiliensis). The simulated scattering properties of the bat agree with controlled measurements and radar observations made during a field study of bats in flight. This numerical technique can produce the full angular set of quantitative polarimetric scattering characteristics, while eliminating many practical difficulties associated with physical measurements. Such a modeling framework can be applied for bird, bat, and insect species, and will help drive a shift in radar biology from a largely qualitative and phenomenological science toward quantitative estimation of animal densities and taxonomic identification. Nature Publishing Group 2016-10-20 /pmc/articles/PMC5071894/ /pubmed/27762292 http://dx.doi.org/10.1038/srep35637 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Mirkovic, Djordje Stepanian, Phillip M. Kelly, Jeffrey F. Chilson, Phillip B. Electromagnetic Model Reliably Predicts Radar Scattering Characteristics of Airborne Organisms |
title | Electromagnetic Model Reliably Predicts Radar Scattering Characteristics of Airborne Organisms |
title_full | Electromagnetic Model Reliably Predicts Radar Scattering Characteristics of Airborne Organisms |
title_fullStr | Electromagnetic Model Reliably Predicts Radar Scattering Characteristics of Airborne Organisms |
title_full_unstemmed | Electromagnetic Model Reliably Predicts Radar Scattering Characteristics of Airborne Organisms |
title_short | Electromagnetic Model Reliably Predicts Radar Scattering Characteristics of Airborne Organisms |
title_sort | electromagnetic model reliably predicts radar scattering characteristics of airborne organisms |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5071894/ https://www.ncbi.nlm.nih.gov/pubmed/27762292 http://dx.doi.org/10.1038/srep35637 |
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