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37 lines
1.9 KiB
Markdown
37 lines
1.9 KiB
Markdown
# JHU/APL pubgeo
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JHU/APL is committed to advancing the state of the art in geospatial computer vision by advocating for public data sets
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and open source software. For more information on this and other efforts, please visit [JHU/APL](http://www.jhuapl.edu/pubgeo.html).
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## SHR3D
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Shareable High Resolution 3D Point Cloud Classification
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>SHR3D classifies a 3D point cloud to generate simple raster products, including a Digital Surface Model (DSM), Digital
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Terrain Model (DTM), and a classification image labeling ground, buildings, and trees.
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### SHR3D Usage
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./shr3d <Input File(LAS|TIF)> DH=<Horizontal uncertainty(m)> DZ=<Vertical uncertainty(m)> AGL=<Min building height(m)> AREA=<Min building area(m^2)>
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#### Example:
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./shr3d shr3dMe.las DH=0.5 DZ=0.5 AGL=2 AREA=50
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This will produce a multiple tif files as a result:
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* **Classification image**- 'Colored' by classification for each pixel: buildings, ground, and trees
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* **Building image**- Binary mask of all detected buildings
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* **DSM**- Digital surface model (reflective surface)
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* **DTM**- Digital terrain model (bare earth, or ground)
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## ALIGN3D
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Align 3D Point Cloud Registration Tool
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>ALIGN3D estimates and applies a transform to align 3D point clouds. This algorithm was developed
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for use with airborne lidar, multiple view satellite imagery, and synthetic aperture radar
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derived point clouds.
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### ALIGN3D Usage
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./align3d <Reference point cloud(LAS)> <Target point cloud(LAS)> maxdz=<Maximum local z difference(m)> gsd=<Ground sample distance(m)> maxt=<Maximum XY translation for search(m)>
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#### Example:
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./align-3d reference.las target.las maxt=10.0 gsd=1.0
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This will produce multiple output files:
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* Aligned.las- A point cloud representation of the target, aligned to the reference
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* Aligned.tif- A DSM of the target, aligned to the reference
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* Offsets.txt- A list of the xyz offsets to translate the target to align with the reference
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