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Airborne Optical Sectioning for Nesting Observation

We describe how a new and low-cost aerial scanning technique, airborne optical sectioning (AOS), can support ornithologists in nesting observation. After capturing thermal and color images during a seven minutes drone flight over a 40 × 12 m patch of the nesting site of Austria’s largest heron popul...

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Detalles Bibliográficos
Autores principales: Schedl, David C., Kurmi, Indrajit, Bimber, Oliver
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7190638/
https://www.ncbi.nlm.nih.gov/pubmed/32350304
http://dx.doi.org/10.1038/s41598-020-63317-9
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author Schedl, David C.
Kurmi, Indrajit
Bimber, Oliver
author_facet Schedl, David C.
Kurmi, Indrajit
Bimber, Oliver
author_sort Schedl, David C.
collection PubMed
description We describe how a new and low-cost aerial scanning technique, airborne optical sectioning (AOS), can support ornithologists in nesting observation. After capturing thermal and color images during a seven minutes drone flight over a 40 × 12 m patch of the nesting site of Austria’s largest heron population, a total of 65 herons and 27 nests could be identified, classified, and localized in a sparse 3D reconstruction of the forest. AOS is a synthetic aperture imaging technique that removes occlusion caused by leaves and branches. It registers recorded images to a common 3D coordinate system to support the reconstruction and analysis of the entire forest volume, which is impossible with conventional 2D or 3D imaging techniques. The recorded data is published with open access.
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spelling pubmed-71906382020-05-05 Airborne Optical Sectioning for Nesting Observation Schedl, David C. Kurmi, Indrajit Bimber, Oliver Sci Rep Article We describe how a new and low-cost aerial scanning technique, airborne optical sectioning (AOS), can support ornithologists in nesting observation. After capturing thermal and color images during a seven minutes drone flight over a 40 × 12 m patch of the nesting site of Austria’s largest heron population, a total of 65 herons and 27 nests could be identified, classified, and localized in a sparse 3D reconstruction of the forest. AOS is a synthetic aperture imaging technique that removes occlusion caused by leaves and branches. It registers recorded images to a common 3D coordinate system to support the reconstruction and analysis of the entire forest volume, which is impossible with conventional 2D or 3D imaging techniques. The recorded data is published with open access. Nature Publishing Group UK 2020-04-29 /pmc/articles/PMC7190638/ /pubmed/32350304 http://dx.doi.org/10.1038/s41598-020-63317-9 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Schedl, David C.
Kurmi, Indrajit
Bimber, Oliver
Airborne Optical Sectioning for Nesting Observation
title Airborne Optical Sectioning for Nesting Observation
title_full Airborne Optical Sectioning for Nesting Observation
title_fullStr Airborne Optical Sectioning for Nesting Observation
title_full_unstemmed Airborne Optical Sectioning for Nesting Observation
title_short Airborne Optical Sectioning for Nesting Observation
title_sort airborne optical sectioning for nesting observation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7190638/
https://www.ncbi.nlm.nih.gov/pubmed/32350304
http://dx.doi.org/10.1038/s41598-020-63317-9
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