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Deep learning for Instance Segmentation of bomb craters on historical aerial images of the Second World War

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/
Document Type:Thesis (Master's)
Title:Deep learning for Instance Segmentation of bomb craters on historical aerial images of the Second World War
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Groll, Marcusmarcus.groll (at) stud-mail.uni-wuerzburg.deUNSPECIFIED
Date:19 February 2019
Refereed publication:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science: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 - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Geowissenschaftl. Fernerkundungs- und GIS-Verfahren
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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