Schwalb-Willmann, Jakob (2018) A deep learning movement prediction framework for identifying anomalies in animal-environment interactions. Master's, Julius-Maximilians-Universität Würzburg.
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Item URL in elib: | https://elib.dlr.de/123853/ | ||||||||
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Document Type: | Thesis (Master's) | ||||||||
Title: | A deep learning movement prediction framework for identifying anomalies in animal-environment interactions | ||||||||
Authors: |
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Date: | 23 October 2018 | ||||||||
Refereed publication: | No | ||||||||
Open Access: | No | ||||||||
Number of Pages: | 55 | ||||||||
Status: | Published | ||||||||
Keywords: | movement prediction, framework, anomalis in animal-enviroment | ||||||||
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: | 29 Nov 2018 09:36 | ||||||||
Last Modified: | 13 Dec 2018 12:16 |
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