Software and Source Code by Martin Isenburg (original) (raw)

Streaming tools to quickly visualize LIDAR in Google Earth. The contour gilmer.kmz (c,d) and the raster tiling gilmer.kmz (c,d) were created in 20 minutes with under 100 MB main memory and no scratch space as described here.

spfinalize.exe (README) spdelaunay2d.exe (README) (source code in sp_api.zip)
tin2iso.exe (README) tin2dem.exe (README) (source code in sm_api.zip)
slclean.exe (README) slsimp.exe (README) sl2sl.exe (README) (source code in sl_api.zip)
sl_viewer.exe (README) and GLUT32.DLL (source code in sl_api.zip)
sp_viewer.exe sp2sp.exe (source code in sp_api.zip)

LAStools are a set of simple command line tools (including source code) for converting, viewing, comparing, and compressing LIDAR data:

txt2las.exe (R) for converting from standard ASCII to binary LAS
a corresponding las2txt.exe (R) for the reverse
lasview.exe (R) for viewing LAS files and lasinfo.exe (R) for listing their contents
las2las.exe (R) for extracting points and modifying LAS files
C++ classes LASreader and LASwriter for reading writing of LAS

example data:

Streaming Delaunay is I/O-efficient software (including source code) for computing Delaunay triangulations of large uniform distributed point sets in 2D and 3D.

first you need to use spfinalize.exe to finalize your points spatially
then spdelaunay2d.exe for 2D (see README_2D.TXT)
or spdelaunay3d.exe for 3D (see README_3D.TXT)
visualize point clouds and the Delaunay triangulation process with sp_viewer.exe
look at resulting tri meshes sm_viewer.exe or tet meshes sv_viewer.exe