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