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Groll, Marcus (2019) Deep learning for Instance Segmentation of bomb craters on historical aerial images of the Second World War. Master's, Julius-Maximilians-Universität Würzburg.
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| Item URL in elib: | https://elib.dlr.de/127945/ | ||||||||
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| Document Type: | Thesis (Master's) | ||||||||
| Title: | Deep learning for Instance Segmentation of bomb craters on historical aerial images of the Second World War | ||||||||
| Authors: |
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| Date: | 19 February 2019 | ||||||||
| Refereed publication: | No | ||||||||
| Number of Pages: | 96 | ||||||||
| Status: | Published | ||||||||
| Keywords: | Instance Segmentation, bomb craters, historical aerial images, second world war | ||||||||
| Institution: | Julius-Maximilians-Universität Würzburg | ||||||||
| Department: | Lehrstuhl für Fernerkundung | ||||||||
| 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 - Geoscientific remote sensing and GIS methods | ||||||||
| Location: | Oberpfaffenhofen | ||||||||
| Institutes and Institutions: | German Remote Sensing Data Center | ||||||||
| Deposited By: | Wöhrl, Monika | ||||||||
| Deposited On: | 25 Jun 2019 07:55 | ||||||||
| Last Modified: | 25 Jun 2019 07:55 |
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