An improved simple morphological filter for the terrain classification of airborne LIDAR data

@article{Pingel2013AnIS,
  title={An improved simple morphological filter for the terrain classification of airborne LIDAR data},
  author={T. Pingel and K. Clarke and William A. McBride},
  journal={Isprs Journal of Photogrammetry and Remote Sensing},
  year={2013},
  volume={77},
  pages={21-30}
}
Abstract Terrain classification of LIDAR point clouds is a fundamental problem in the production of Digital Elevation Models (DEMs). The Simple Morphological Filter (SMRF) addresses this problem by applying image processing techniques to the data. This implementation uses a linearly increasing window and simple slope thresholding, along with a novel application of image inpainting techniques. When tested against the ISPRS LIDAR reference dataset, SMRF achieved a mean 85.4% Kappa score when… Expand
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