51 to 60 of 121 Results
Jan 18, 2024 -
Manually labeled terrestrial laser scanning point clouds of individual trees for leaf-wood separation
Unknown - 112.2 MB -
MD5: 7cb494f1e0a88bdaf1baa9911e1f8164
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Jan 18, 2024 -
Manually labeled terrestrial laser scanning point clouds of individual trees for leaf-wood separation
Unknown - 19.7 MB -
MD5: 96b3ea239a18daf09c6897dc05a84b11
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ZIP Archive - 1.3 GB -
MD5: 74a0432c7093e9080f942d056a3593d6
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Jan 25, 2022 -
Correspondence-driven plane-based M3C2 for quantification of 3D topographic change with lower uncertainty [Data and Source Code]
ZIP Archive - 376.5 KB -
MD5: 1f7af2216c7548e34a58e73df5c62fb4
Contains "outcrop.exe" and "ANN.dll". |
Aug 18, 2021
Weiser, Hannah; Winiwarter, Lukas; Anders, Katharina; Fassnacht, Fabian Ewald; Höfle, Bernhard, 2021, "Opaque Voxel-based Tree Models for Virtual Laser Scanning in Forestry Applications [Research Data and Source Code]", https://doi.org/10.11588/data/MZBO7T, heiDATA, V1
Virtual laser scanning (VLS), the simulation of laser scanning in a computer environment, is as a useful tool for field campaign planning, acquisition optimisation, and development and sensitivity analyses of algorithms in various disciplines including forestry research. One key... |
GeoJSON - 18.4 KB -
MD5: cb34ffb4e3214f613330c72a9093c120
Segmentation of the sample area with segment classes and the adapted filter pipelines assigned. |
GeoJSON - 26.4 KB -
MD5: f352d25ba4ca4139a94d478d0fdfa6a5
Input data: Segmentation of the sample area with segment classes but without filter pipelines assigned. |
Unknown - 77.7 MB -
MD5: e9b080ab871e5a96a31c73179235dd9e
Input data: 3D point cloud from the sample region to which the filters are applied with the AFwizard. |
JSON - 563 B -
MD5: 5f845e8634511fea8aa1cde9d3ad288f
Filter pipeline for segments of class "valley". |
JSON - 300 B -
MD5: 1fe264da9d9691837fb718f99cf96803
Filter pipeline for segments of class "slope" and "ridge". |