LiDAR
LAStools
Publisher: rapidlasso GmbH
Platform: Platform independent
Software / Code: C++
Requirements:
Features: filtering, tiling, rasterizing, triangulating, converting, clipping, quality-checking, etc..
Webpage: http://www.cs.unc.edu/~isenburg/lastools/
Reference:
- Martin Isenburg, Yuanxin Liu, Jonathan Shewchuk, Jack Snoeyink, Tim Thirion, Generating Raster DEM from Mass Points via TIN Streaming, GIScience'06 Conference Proceedings, pages 186-198, September 2006.
- Martin Isenburg, Yuanxin Liu, Jonathan Shewchuk, Jack Snoeyink, Streaming Computation of Delaunay Triangulations, Proceedings of SIGGRAPH'06, pages 1049-1056, July 2006.
- Martin Isenburg, Yuanxin Liu, Jack Snoeyink, Streaming Extraction of Elevation Contours from LiDAR points, draft, april 2006.
Last modified: 2016
Comments:
PulseWaves
Publisher: Martin Isenburg
Platform:
Software / Code:
Requirements:
Features: An open, vendor-neutral, stand-alone, LAS-compatible full waveform LiDAR standard
Webpage: https://github.com/PulseWaves/PulseWaves
Reference:
Last modified: 2015
Comments:
OPALS |
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Publisher: Vienna University of Technology
Platform: Windows, UNIX
Software / Code: C++, Python
Requirements: OPALS modules are accessible in three different ways:
- Command line executables,
- Python modules
- C++ classes (via DLL API)
Features: OPALS stands for Orientation and Processing of Airborne Laser Scanning data. It is a modular program system consisting of small components (modules) grouped together thematically in terms of packages. The aim of OPALS is to provide a complete processing chain for processing airborne laser scanning data (waveform decomposition, georeferencing, quality control, structure line extraction, point cloud classification, DTM generation and several fields of application like forestry, hydrology/hydraulic engineering, city modelling and power lines).
Webpage: http://geo.tuwien.ac.at/opals/html/index.html
Reference:
Last modified:
Comments: