Roadmap for custom, high-performance LiDAR processing software:
Maximize the geometric accuracy of point clouds
Perform strip adjustment faster and more accurately than existing software using an advanced, spatially adaptive algorithm. No need to filter the data, as the approach is robust to vegetation, buildings and noise.
V 2.14 [Win, Linux, MacOS] available
Get more information from raw data
Extract range data from raw waveform files. Get more points and more accurate results even at high altitude and in difficult cases with low vegetation. High throughput achieved using efficient algorithms and an optimized implementation.
V 1.2 [Win, Linux, MacOS] available
Perform rigorous, reliable change detection
Quickly map the statistically significant changes from two point clouds collected under various conditions, with different sensors, data density and quality. This package can process both airborne and terrestrial scans.
Produce high quality digital elevation models
Obtain accurate gridded products and error maps thanks to our innovative reconstruction, interpolation and ground filtering methods. Manage uncertainty through rigorous error propagation.
|These packages are now in the pre-production phase.
Please contact us if you are interested in features and capabilities not listed.
- All software packages can be purchased and run independently – no hidden dependencies
- Free 30-day evaluation period (fully functional products): request a demo license
- Computationally efficient implementation, multi-platform (Windows, Mac OS, Linux) 64-bit
- Simple command-line interface minimizes training cost and time
- Compatible with major cloud computing platforms
- Ready for batch processing and production chain integration
- Compatible with other LiDAR processing software: read/write LAS/LAZ/TXT, TIFF formats
- Remote calibration of processing parameters, and full support included