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Fully automatic spatiotemporal segmentation of 3D LiDAR time series for the extraction of natural surface changes [Source Code, Validation Material and Validation Results]

This dataset comprises the source code to perform fully automatic spatiotemporal segmentation in time series of topographic surface change data (Py...

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Bibliographic Details
Main Authors: Anders, Katharina (Author) , Winiwarter, Lukas (Author) , Mara, Hubert (Author) , Lindenbergh, Roderik (Author) , Vos, Sander (Author) , Höfle, Bernhard (Author)
Format: Database Research Data
Language:English
Published: Heidelberg Universität 2021-01-13
DOI:10.11588/data/4HJHAA
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Forschungsdaten
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Online Access:Verlag, kostenfrei, Volltext: https://doi.org/10.11588/data/4HJHAA
Verlag, kostenfrei, Volltext: https://heidata.uni-heidelberg.de/dataset.xhtml?persistentId=doi:10.11588/data/4HJHAA
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Author Notes:Katharina Anders, Lukas Winiwarter, Hubert Mara, Roderik Lindenbergh, Sander E. Vos, Bernhard Höfle
Description
Summary:This dataset comprises the source code to perform fully automatic spatiotemporal segmentation in time series of topographic surface change data (Py...
Item Description:Gesehen am 13.01.2021
Physical Description:Online Resource
DOI:10.11588/data/4HJHAA

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