51 to 60 of 121 Results
Jan 25, 2022
Zahs, Vivien; Winiwarter, Lukas; Anders, Katharina; Williams, Jack G.; Rutzinger, Martin; Bremer, Magnus; Höfle, Bernhard, 2021, "Correspondence-driven plane-based M3C2 for quantification of 3D topographic change with lower uncertainty [Data and Source Code]", https://doi.org/10.11588/data/TGSVUI, heiDATA, V2
The analysis and interpretation of 3D topographic change requires methods that achieve low uncertainties in change quantification. Many recent geoscientific studies that perform point cloud-based topographic change analysis have used the multi-scale-model-to-model-cloudcomparison... |
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". |
JSON - 312 B -
MD5: a5835047e1a69987e02599d7fc1821c6
Filter pipeline for segments of class "paddy field". |
JSON - 300 B -
MD5: 1fe264da9d9691837fb718f99cf96803
Filter pipeline for segments of class "slope" and "ridge". |
JSON - 563 B -
MD5: 5f845e8634511fea8aa1cde9d3ad288f
Filter pipeline for segments of class "valley". |
Unknown - 77.7 MB -
MD5: e9b080ab871e5a96a31c73179235dd9e
Input data: 3D point cloud from the sample region to which the filters are applied with the AFwizard. |
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 - 4.0 MB -
MD5: ecb287c259ef82ed4e449f718abf8abf
3D point cloud of a sub-area that represents segments of class "paddy". |
Unknown - 2.1 MB -
MD5: 2a372cd47af207796c29f06ce650f381
3D point cloud of a sub-area that represents segments of class "ridge". |