Processing of LiDAR Data using Morphological Filter

Light Detection and Ranging (LIDAR) technology has become an effective way to generate digital terrain models (DTMs) and detect buildings with high resolutions for many usages. Scientists have done more efforts every day; to use the data from LIDAR for 3-D mapping and detecting of buildings. Morphological filtering is one of the methods used to filter LIDAR data from noise. In this work, a stepped morphological filtering and its parametric performance in removing unwanted LIDAR measurements are studied. Numerical experiments show that the stepped morphological filter is more effective than the traditional morphological filter.