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Classifying the original point clouds into ground and non-ground points is a key step in LiDAR (light detection and ranging) data post-processing. Cloth simulation filtering (CSF) algorithm, which bas...
Digital terrain model (DTM) is one of the important input parameters in urban flood application. This is because it influences the flow direction, flow velocity, flood extend and flood depth. LiDAR ...
Over the past years, several filters have been developed to extract bare-Earth points from airborne laser scanner data. we conducted a test to determine the performance of three different filters and ...
The research in the detection and feature extraction of typical objects in urban areas has intensified. In existing detection technologies, it has been shown that the LIDAR technique is very promising...
The purpose of filtering LIDAR data is to extract the laser points which are truly reflected from the bare ground. However, the results obtained may vary since several engineers are involved in the ma...
This paper presents an automatic method for filtering and segmenting 3D point clouds acquired from mobile LIDAR systems. Our approach exploits 3D information by using range images and several m...
This paper proposes a new filtering method of non-ground measurements from airborne LIDAR data through a Simultaneous AutoRegressive (SAR) analytical model and exploiting a Forward Search (FS) algor...

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