A Case Study on Error Identificaton and Minimisation in Airborne Altimetric LiDAR Data
Bharat Lohani
Department of Civil Engineering, Indian Institute of Technology
David C. Mason
Environmental Systems Science Centre, The University of Reading
要旨
LiDAR data are generated using a complex process including several components, viz. the laser scanner, GPS, and IRS. The inherent limitations of these sensors and the complexity of their integration introduce random errors into the data. Malfunctioning of the LiDAR system or any component there of may also result in random and systematic errors in the data. This paper deals with the outliers, systematic and random errors that were encountered in the test data of a study site. Error analysis methods, which are especially suitable for LiDAR, namely overlap analysis, local profile, and average profile are developed. Furthermore, techniques are suggested to determine and suppress the random error. The approach presented can be useful in any project before using LiDAR data for information extraction.
