<div class="csl-bib-body">
<div class="csl-entry">Ojdanic, D., Paternoster, N., Naverschnigg, C., Sinn, A., & Schitter, G. (2024). Evaluation of the required optical resolution for deep learning-based long-range UAV detection. In Dr. M. Alam & V. Asari (Eds.), <i>Proceedings Volume 13040, Pattern Recognition and Prediction XXXV</i> (p. 14). https://doi.org/10.1117/12.3013251</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/208113
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dc.description.sponsorship
FFG - Österr. Forschungsförderungs- gesellschaft mbH
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dc.language.iso
en
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dc.subject
Resolution
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dc.subject
Deep Learning
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dc.subject
UAV Detection
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dc.title
Evaluation of the required optical resolution for deep learning-based long-range UAV detection
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.contributor.affiliation
TU Wien, Austria
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dc.contributor.editoraffiliation
Minnesota State University, Mankato, United States of America (the)
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dc.contributor.editoraffiliation
University of Dayton, United States of America (the)
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dc.relation.isbn
9781510673991
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dc.description.startpage
14
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dc.relation.grantno
879716
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
Proceedings Volume 13040, Pattern Recognition and Prediction XXXV
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tuw.project.title
Erkennung, Verfolgung und optische Identifikation von UAVs durch robotische Teleskopsysteme
