1 to 10 of 126 Results
Jun 15, 2021 -
M3C2-EP: Pushing the limits of 3D topographic point cloud change detection by error propagation [Data and Source Code]
ZIP Archive - 3.6 GB -
MD5: 7ad6b910c04e9700ff1c920a2b7ab46a
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Jun 15, 2021 -
M3C2-EP: Pushing the limits of 3D topographic point cloud change detection by error propagation [Data and Source Code]
ZIP Archive - 6.1 GB -
MD5: 39e2089bb27ea462e49499bf21809589
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Jun 15, 2021 -
M3C2-EP: Pushing the limits of 3D topographic point cloud change detection by error propagation [Data and Source Code]
ZIP Archive - 4.8 GB -
MD5: 0d7378b75e5ccf65d7ab1a0bf42174f3
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Adobe PDF - 3.0 MB -
MD5: 42ef6e235541e0da99a3456c218be128
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Adobe PDF - 2.2 MB -
MD5: 1f8394e08949c6bc289acea60dfe2001
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Jan 15, 2020
Herfort, Benjamin; Anders, Katharina; Marx, Sabrina; Eberlein, Stefan; Höfle, Bernhard, 2020, "3D Micro-Mapping of Subsidence Stations [Source Code and Data]", https://doi.org/10.11588/data/OU8YA1, heiDATA, V1
This dataset comprises the source code to reproduce the 3D micro-mapping tool for plane adjustment at subsidence stations. In this project, users adjust a plane (height and orientation) at the positions of fixed poles, so-called subsidence stations, to provide information on the... |
Jul 21, 2022
Shinoto, Maria; Doneus, Michael; Haijima, Hideyuki; Weiser, Hannah; Zahs, Vivien; Kempf, Dominic; Daskalakis, Gwydion; Höfle, Bernhard; Nakamura, Naoko, 2022, "3D Point Cloud from Nakadake Sanroku Kiln Site Center, Japan: Sample Data for the Application of Adaptive Filtering with the AFwizard", https://doi.org/10.11588/data/TJNQZG, heiDATA, V2
This data set represents 3D point clouds acquired with LiDAR technology and related files from a subregion of 150*436 sqm in the ancient Nakadake Sanroku Kiln Site Center in South Japan. It is a densely vegetated mountainous region with varied topography and vegetation. The data... |
Aug 4, 2017
Herfort, Benjamin; Eberlein, Stefan, 2017, "3D-MAPP: 3D-MicroMapping of Big 3D Geo-Datasets in the Web", https://doi.org/10.11588/data/Y4V85F, heiDATA, V1
The research project 3D-MAPP develops a web-based methodology to obtain digital geodata via the combination of data analysis by human and machine. Through a quick and easy-to-use 3D Web visualization users are able – in a few seconds – to solve 3D micro mapping tasks, which can h... |
ZIP Archive - 1.9 MB -
MD5: cd5c73585b9c0f3b90f271aef0c7d78d
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ZIP Archive - 677.3 KB -
MD5: 5c660b7ef50119c159a130b78612ab49
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