21 to 30 of 126 Results
Jan 18, 2024 -
Manually labeled terrestrial laser scanning point clouds of individual trees for leaf-wood separation
Unknown - 15.8 MB -
MD5: c68af5dfdc330cc91f2392f369ec798b
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Jan 18, 2024 -
Manually labeled terrestrial laser scanning point clouds of individual trees for leaf-wood separation
Tabular Data - 826 B - 5 Variables, 11 Observations - UNF:6:9U7BGTgjjsWd1GduT1qXjA==
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Jan 18, 2024 -
Manually labeled terrestrial laser scanning point clouds of individual trees for leaf-wood separation
Unknown - 67.9 MB -
MD5: 0e7665fc63fb58ef73462dca7e5b3333
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Jan 18, 2024 -
Manually labeled terrestrial laser scanning point clouds of individual trees for leaf-wood separation
Unknown - 6.3 MB -
MD5: e7bb9dcd3cf51ec5e3baa9e49e34fc47
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Jan 18, 2024 -
Manually labeled terrestrial laser scanning point clouds of individual trees for leaf-wood separation
Unknown - 30.8 MB -
MD5: 2a5251159e948fb80793f8a4e6bda446
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Jan 18, 2024 -
Manually labeled terrestrial laser scanning point clouds of individual trees for leaf-wood separation
Unknown - 52.6 MB -
MD5: 514d3aec936dfd670d980cb95753c11e
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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... |
Jan 16, 2024 -
Classification of Types of Changes in Gully Environments Using Time Series Forest Algorithm [data]
Plain Text - 3.3 KB -
MD5: 4daddca6afb01d7f57044518e5ef2fe1
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Dec 13, 2023
Vallejo Orti, Miguel; Negussie, Kaleb; Corral, Eva; Höfle, Bernhard; Bubenzer, Olaf, 2023, "Gully detection with Inverse Morphological Reconstruction Algorithm [data]", https://doi.org/10.11588/data/PXDR4M, heiDATA, V1
Characterization of micro-terrain features has been explored to detect gully objects in the terrain. An adaptation to the morphological reconstruction operator is implemented to detect gullies instead of buildings or other man-made structures. This operator can be configured to d... |
Plain Text - 3.5 KB -
MD5: 85e2057047d93095150ee47af8ad0b86
Example of Output data |