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SHR3D

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 Terrain Model (DTM), and a classification image labeling ground, buildings, and trees.

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)>

Example:

./shr3d shr3dMe.las DH=0.5 DZ=0.5 AGL=2 AREA=50

This will produce a multiple tif files as a result:

Classification image- 'Colored' by classification for each pixel: buildings, ground, and trees
Building image- Binary mask of all detected buildings
DSM- Digital surface model (reflective surface)
DTM- Digital terrain model (bare earth, or ground)

ALIGN3D

Align 3D Point Cloud Registration Tool

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 derived point clouds.

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)>

Example:

./align-3d reference.las target.las maxt=10.0 gsd=1.0

This will produce multiple output files:

Aligned.las- A point cloud representation 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