Comments (13)
@jmprovencher
Please clarify. DSM or Bare Earth DTM?
The current orthomodel is better than a 2.5D DSM, but creating a DTM from a point cloud that does not see the ground in dense bush is not possible. I use Cloud Compare for that and have to fiddle a lot with CSF and multiple filters, curvature/roughness etc. Have tried the Canupo filter but the challenge is dense low bush. So answer is........ probably not. YOu have a point cloud and there are many places to play with that and extract away.
Big plus would be to allow mor point cloud filtering options to create a 'cleaned cloud' as a discrete output prior to meshing, SOR filter, etc.
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Is there any update on this? I am keen to get an elevation raster out of ODM.
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Sadly, no progress yet on this. But, with the python port, you'll get georeferenced point clouds from which you can create a surface model in other software.
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Which software can do that and how?
from odm.
QGIS & GRASS are two good candidates. I'd start with QGIS (https://qgis.org).
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Yep, with the option-0000_georef.ply
I had to make a CSV, with the X,Y shifted by the offsets, and I could import in into QGIS with GRASS plugin r.in.xyz
command.
I'm thinking to add this to run.py to make that CSV.
However there is also an other format LIDAR (las) outputed by run.py, but I had no success using that yet in QGIS.
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@lupus78, adding this CSV output would be very welcome.
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Cloud Compare with the Cloth Simulation Filter does a great job (with tweeking) of separating the ground from above ground features, then you can use the raster generation tool to create the DSM, or DEM as required. All part of an opensource toolchain.
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Ground point classification is a challenge. I will try Cloth Simulation, thx.
take a look: PKtools is licensed by GPL v3.
http://pktools.nongnu.org/html/md_apps.html#available_tools
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from odm.
you can run PKtools from Command line.
Check your QGIS menu Processing pktools patch. My Pktools folder is: /usr/bin
I am testing PKtools with my drone dataset.
I have a second dataset with contours compiled, by hand, with a photogrammetric workstation.
I did not test LiDAR data, yet. I have two LiDAR datasets ( urban and rural ) but unfortunately i have no drone Images over those datasets.
I think we have some good FOSS tools for point clout processing.
I like PDAL. ( Thx Howard Butler, Michael Gerlek );
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Is it in the OpenDroneMap Roadmap to implement DSM output in the regular workflow in the near future?
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The --dem
and related options do a progressive morphological filter to generate a rough ground model, but you are right it doesn't work for high vegetation areas like a lidar-produced model would.
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Related Issues (20)
- Feature request: moar tag types for DOP HOT 3
- Video to image conversion GPS tagging stops working after a while HOT 1
- Split not working when submodels folder is binded on docker volume HOT 4
- MacOS native install: No formulae or casks found for tbb@2020
- The generated image is too small and disordered. HOT 2
- Save textured models as osgb format with LOD for fast rendering
- ODM Obj2Tiles version not up to date
- Mavic 3M multispectral alignment issues HOT 17
- 3D model of the building area is poor when with boundary constraints HOT 5
- Project ground control point to image error HOT 1
- Docker GPU image not up to date due to failed Guthub Action
- [Help Wanted] - Fixing and maintaining the GPU build HOT 2
- DSPSIFT detects less features that SIFT HOT 8
- Asking for explanation on why using '@drone-dji:FlightYawDegree' instead of '@drone-dji:GimbalYawDegree' HOT 2
- Improve behavior when using image_groups.txt HOT 4
- Feature Request : Verbose Output when Out of Memory HOT 1
- Feature request: option to disable OpenMVS point cloud filter (filtering by visibility) HOT 2
- project from the 3D point-cloud to orthophoto HOT 1
- `[ERROR] Directory project does not exist` when following README.md using `docker run -ti --rm -v /home/youruser/datasets:/datasets opendronemap/odm --project-path /datasets project` HOT 2
- Feature Request: Adapt las export resolution according to GSD HOT 4
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