BayesWavEx prototype released!

BayesWavEx prototype (V1.0) released. Request a demo now! See licensing page for details.

The picture above shows the range uncertainty layer (exported as a LAS extended attribute) above the corrected intensity. The predictive range error depends on peak shape, amplitude and width, and sensor noise. All parameters are estimated automatically.

Credit: NERC/ARSF http://neodc.nerc.ac.uk/
Data source: http://www.liblas.org/samples/NERC-ARSF-LAS1_3-sample.tar.bz2

This 1.6 Mpts dataset was processed in less than 30 seconds.

BayesWavEx Features:

  • Returns robust to peak contamination and overlaps
  • False alarm suppression using pulse shape
  • Automatic calibration
  • Fast, accurate waveform decomposition
  • Physically meaningful attribute extraction
  • Range / attribute uncertainty attribute export options
  • Basic high/low point elimination
  • Intensity correction options