11 to 20 of 121 Results
ZIP Archive - 5.2 MB -
MD5: 8944f54b551e8c670c43e17679ff1d34
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Jan 18, 2024 -
Manually labeled terrestrial laser scanning point clouds of individual trees for leaf-wood separation
Unknown - 78.2 MB -
MD5: 984abea0c7e1e0ebacfa92bf974a101e
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Aug 18, 2021 -
Opaque Voxel-based Tree Models for Virtual Laser Scanning in Forestry Applications [Research Data and Source Code]
ZIP Archive - 5.5 KB -
MD5: 6c6372dbc0dd0f4ba82dcdac65cb2462
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ZIP Archive - 9.5 GB -
MD5: 71093af0413740aeecc28c761c281115
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ZIP Archive - 271.5 MB -
MD5: fb49a6c8c1680a8df2c0c3d3350f5f6a
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ZIP Archive - 839.0 MB -
MD5: 2d91458b26f1d812e025bc83186f8768
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ZIP Archive - 115.4 MB -
MD5: 2e622f3e1f45ff24bac25b19beefacc9
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Python Source Code - 4.2 KB -
MD5: f255b27958baf1e7e577353dcc43290c
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Jul 20, 2023
Zahs, Vivien; Anders, Katharina; Kohns, Julia; Stark, Alexander; Höfle, Bernhard, 2023, "Classification of structural building damage grades from multi-temporal photogrammetric point clouds using a machine learning model trained on virtual laser scanning data [Data and Source Code]", https://doi.org/10.11588/data/D3WZID, heiDATA, V1
Automatic damage assessment by analysing UAV-derived 3D point clouds provides fast information on the damage situation after an earthquake. However, the assessment of different damage grades is challenging given the variety in damage characteristics and limited transferability of... |
Jan 16, 2024
Vallejo Orti, Miguel; Castillo, Carlos; Zahs, Vivien; Bubenzer, Olaf; Höfle, Bernhard, 2023, "Classification of Types of Changes in Gully Environments Using Time Series Forest Algorithm [data]", https://doi.org/10.11588/data/NSMM6P, heiDATA, V2, UNF:6:KVUhApCn+Ker99oncknXzA== [fileUNF]
This code implements the TimeSeriesForest algorithm to classify different types of changes in gully environments. i)gully topographical change, ii)no change outside gully, iii) no change inside gully, and iv) non-topographical change. The algorithm is specifically designed for ti... |