Vol. 3 No. 2 (2023)
Articles

Comparison of CSF Ground Filtering Method by Using Airborne LiDAR Data

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  • Ramazan Alper Kuçak,
  • İsmail Büyüksalih

Published 2023-09-30

Keywords

  • Ground Filtering,
  • LiDAR,
  • DTM,
  • CSF,
  • Point Cloud

How to Cite

Kuçak, R. A., & Büyüksalih, İsmail. (2023). Comparison of CSF Ground Filtering Method by Using Airborne LiDAR Data. Advanced LiDAR, 3(2), 47–52. Retrieved from https://publish.mersin.edu.tr/index.php/lidar/article/view/1058

Abstract

Airborne LiDAR System (ALS) is a common use of rapid data gathering technologies in a variety of fields, such as cultural heritage, Geography Information Systems (GIS), 3D city modeling, and the production of Digital Terrain Models (DTM). Geomatics experts must use Light Detection and Ranging (LiDAR) to filter out the bare ground from point cloud data. So, the Cloth Simulation Filtering (CSF) ground filtering technique is discussed in this study. The ground and non-ground point clouds of the airborne LiDAR point cloud data were separated for assessment. All point cloud data must be compared for an accurate appraisal of filtering accuracy. However, the data is so massive; this seems implausible. Data manually identified as ground and non-ground were used as a reference to measure classification success adequately. Our findings show that the CSF approach's performance is sufficient but depends on the kind of point cloud, the slope, and the vegetation type.

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