The paper presents a procedure developed to calibrate the value of parameters used in GRASS algorithms that perform LiDAR’s data filtering. These cascade commands, developed by the Geomatic Laboratory of the Politecnico di Milano, were empirically calibrated for low spatial resolution LiDAR data. UCODE_2005 from USGS was the software employed in the calibration, mainly chosen because of its flexibility and adaptability to every kind of model; it carries out an inverse model calibration in an iterative way and performs the sensitivity analysis on the parameters. In the end the filtering results obtained after the calibration were compared to the one obtained with the software TerraScan in a completely automatic procedure.
Filtering LiDAR with GRASS: overview of the method andcomparisons with Terrascan
BROVELLI, MARIA ANTONIA;LUCCA, SARA
2011-01-01
Abstract
The paper presents a procedure developed to calibrate the value of parameters used in GRASS algorithms that perform LiDAR’s data filtering. These cascade commands, developed by the Geomatic Laboratory of the Politecnico di Milano, were empirically calibrated for low spatial resolution LiDAR data. UCODE_2005 from USGS was the software employed in the calibration, mainly chosen because of its flexibility and adaptability to every kind of model; it carries out an inverse model calibration in an iterative way and performs the sensitivity analysis on the parameters. In the end the filtering results obtained after the calibration were compared to the one obtained with the software TerraScan in a completely automatic procedure.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
