PROGRESSIVE DENSIFICATION AND REGION GROWING METHODS FOR LIDAR DATA CLASSIFICATION

5 citations as recorded by crossref.

1. Classification of lidar bare-earth points, buildings, vegetation, and small objects based on region growing and angular classifier J. Sánchez-Lopera & J. Lerma 10.1080/01431161.2014.960619
2. Comparing the capability of low- and high-resolution LiDAR data with application to solar resource assessment, roof type classification and shading analysis D. Lingfors et al. 10.1016/j.apenergy.2017.08.045
3. A deep learning approach to DTM extraction from imagery using rule-based training labels C. Gevaert et al. 10.1016/j.isprsjprs.2018.06.001
4. Comparison of the performances of ground filtering algorithms and DTM generation from a UAV-based point cloud C. Serifoglu Yilmaz & O. Gungor 10.1080/10106049.2016.1265599
5. Digital terrain models derived from digital surface model uniform regions in urban areas C. Beumier & M. Idrissa 10.1080/01431161.2016.1182666