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Heigenhauser, Daniela (2023) On the Influence of Source Domain Selection on a Neural Networks' Performance in Building Damage Assessment. Bachelor's, Eberhard Karls Universität Tübingen.
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| Item URL in elib: | https://elib.dlr.de/198100/ | ||||||||
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| Document Type: | Thesis (Bachelor's) | ||||||||
| Title: | On the Influence of Source Domain Selection on a Neural Networks' Performance in Building Damage Assessment | ||||||||
| Authors: |
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| Date: | 2023 | ||||||||
| Refereed publication: | No | ||||||||
| Open Access: | No | ||||||||
| Gold Open Access: | No | ||||||||
| In SCOPUS: | No | ||||||||
| In ISI Web of Science: | No | ||||||||
| Number of Pages: | 77 | ||||||||
| Status: | Published | ||||||||
| Keywords: | building damage assessment, emergency response, natural hazards, remote sensing | ||||||||
| Institution: | Eberhard Karls Universität Tübingen | ||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||
| HGF - Program: | Space | ||||||||
| HGF - Program Themes: | Earth Observation | ||||||||
| DLR - Research area: | Raumfahrt | ||||||||
| DLR - Program: | R EO - Earth Observation | ||||||||
| DLR - Research theme (Project): | R - Remote Sensing and Geo Research | ||||||||
| Location: | Oberpfaffenhofen | ||||||||
| Institutes and Institutions: | German Remote Sensing Data Center > Geo Risks and Civil Security | ||||||||
| Deposited By: | Hertel, Victor | ||||||||
| Deposited On: | 19 Oct 2023 09:09 | ||||||||
| Last Modified: | 19 Oct 2023 09:09 |
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