Record link: 
http://hdl.handle.net/20.500.12708/190618
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Title: 
Exploring Learning-Based Approaches for Bomb Crater Detection in Historical Aerial Images
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Citation: 
Burges, M., Zambanini, S., & Sablatnig, R. (2023). Exploring Learning-Based Approaches for Bomb Crater Detection in Historical Aerial Images. In Proceedings of the OAGM Workshop 2022 (pp. 60–66). https://doi.org/10.3217/978-3-85125-954-4-09
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Publisher DOI: 
10.3217/978-3-85125-954-4-09
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Burges, Marvin 
Zambanini, Sebastian 
Sablatnig, Robert 
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Organisational Unit: 
E193-01 - Forschungsbereich Computer Vision 
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Published in: 
Proceedings of the OAGM Workshop 2022 
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Date (published): 
2023
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Event name: 
OAGM Workshop 2022 - Digitalization for Smart Farming and Forestry 
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Event date: 
18-Oct-2022 - 8-Nov-2022
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Event place: 
Austria
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Number of Pages: 
7
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Peer reviewed: 
Yes
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Keywords: 
Remote Sensing; Self-Supervised Learning; Bomb Crater Detection
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Project title: 
Domain-adaptive Remote sensing Image Analysis with Human-in-the-loop: 880883 (FFG - Österr. Forschungsförderungs- gesellschaft mbH) 
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Research Areas: 
Visual Computing and Human-Centered Technology: 100%
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Science Branch: 
1020 - Informatik: 90%
1010 - Mathematik: 10%
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Appears in Collections:
Conference Paper

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