Published October 14, 2024
| Version v1
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Airborn point clouds for "General method of point-to-point matching for rigorous optimization in kinematic laser scanning"
Creators
Description
This dataset contains airborne point clouds described in the paper "General method of point-to-point matching for rigorous optimization in kinematic laser scanning".
Experiment to geoereference such point clouds is provided in the original publication, Sec. 3.2 while their georeferencing accuracy is provided in Sec. 4.2
Files
DN_L2L_cloud1.txt
Files
(10.1 GB)
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md5:da8dc8b342024d76cc01a15dea1f5d8b
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947.1 MB | Download |
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md5:e89c1f96ab8126008a413fee785e3fe4
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833.5 MB | Download |
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md5:c8e8137b75f50625fc3c2c406f26e4da
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2.2 GB | Preview Download |
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md5:90af1481edefdef2ae8a5a6de2d4eba8
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1.9 GB | Preview Download |
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md5:3689063341709145a2c577a00c300976
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md5:460de368cfd842c8499e5738a6891729
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1.9 GB | Preview Download |
Additional details
Dates
- Created
-
2024-10-14
Software
- Repository URL
- https://github.com/AurelienBrn/P2P_match.git
- Programming language
- Python
- Development Status
- Active