3D Spatial Data Processing

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Publication Year: 2021

1 to 10 of 38 Results

Correspondence-driven plane-based M3C2 for quantification of 3D topographic change with lower uncertainty [Data and Source Code] 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...
Outcrop_segmentation.zip 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 Code Contains "outcrop.exe" and "ANN.dll".
Improving change analysis from near-continuous 3D time series by considering full temporal information [Data and Source Code] Dec 9, 2021 Anders, Katharina; Winiwarter, Lukas; Höfle, Bernhard, 2021, "Improving change analysis from near-continuous 3D time series by considering full temporal information [Data and Source Code]", https://doi.org/10.11588/data/1L11SQ, heiDATA, V1 This dataset comprises the source code (Python scripts) and data to perform spatiotemporal segmentation in time series of surface change data for a (i) synthetic dataset and (ii) hourly snow cover changes acquired by terrestrial laser scanning. Further details are given in the co...
snowcover_data.zip Dec 9, 2021 - Improving change analysis from near-continuous 3D time series by considering full temporal information [Data and Source Code] ZIP Archive - 7.3 GB - MD5: 480ba8cb468c44d7fc9b67d0e01fca94 Data
snowcover_README.txt Dec 9, 2021 - Improving change analysis from near-continuous 3D time series by considering full temporal information [Data and Source Code] Plain Text - 740 B - MD5: a0d215c287f8e277789aae612df1f57b Documentation
snowcover_scripts.zip Dec 9, 2021 - Improving change analysis from near-continuous 3D time series by considering full temporal information [Data and Source Code] ZIP Archive - 25.4 KB - MD5: 076639c9b3fb123b336cdb11fd80a0cf Code
synthetic_data.zip Dec 9, 2021 - Improving change analysis from near-continuous 3D time series by considering full temporal information [Data and Source Code] ZIP Archive - 234.3 MB - MD5: 310b50f893f525a311d25006f38daac1 Data
synthetic_README.txt Dec 9, 2021 - Improving change analysis from near-continuous 3D time series by considering full temporal information [Data and Source Code] Plain Text - 706 B - MD5: c552c6f024c509ebdf1123f8a8dfa8ba Documentation
synthetic_scripts.zip Dec 9, 2021 - Improving change analysis from near-continuous 3D time series by considering full temporal information [Data and Source Code] ZIP Archive - 25.8 KB - MD5: a9797415a92bc37c37a6a3fbbe386be8 Code
Code.zip Dec 2, 2021 - Correspondence-driven plane-based M3C2 for quantification of 3D topographic change with lower uncertainty [Data and Source Code] ZIP Archive - 8.5 KB - MD5: b9f528563a1081e7e716d2e3ef1bd033 Code

Correspondence-driven plane-based M3C2 for quantification of 3D topographic change with lower uncertainty [Data and Source Code]

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...

Outcrop_segmentation.zip

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 -

Code

Contains "outcrop.exe" and "ANN.dll".

Improving change analysis from near-continuous 3D time series by considering full temporal information [Data and Source Code]

Dec 9, 2021

Anders, Katharina; Winiwarter, Lukas; Höfle, Bernhard, 2021, "Improving change analysis from near-continuous 3D time series by considering full temporal information [Data and Source Code]", https://doi.org/10.11588/data/1L11SQ, heiDATA, V1

This dataset comprises the source code (Python scripts) and data to perform spatiotemporal segmentation in time series of surface change data for a (i) synthetic dataset and (ii) hourly snow cover changes acquired by terrestrial laser scanning. Further details are given in the co...

snowcover_data.zip

Dec 9, 2021 - Improving change analysis from near-continuous 3D time series by considering full temporal information [Data and Source Code]

ZIP Archive - 7.3 GB -

Data

snowcover_README.txt

Dec 9, 2021 - Improving change analysis from near-continuous 3D time series by considering full temporal information [Data and Source Code]

Plain Text - 740 B -

Documentation

snowcover_scripts.zip

Dec 9, 2021 - Improving change analysis from near-continuous 3D time series by considering full temporal information [Data and Source Code]

ZIP Archive - 25.4 KB -

Code