CLASSIFICATION OF MLS POINT CLOUDS IN URBAN SCENES USING DETRENDED GEOMETRIC FEATURES FROM SUPERVOXEL-BASED LOCAL CONTEXTS

9 citations as recorded by crossref.

1. GraNet: Global relation-aware attentional network for semantic segmentation of ALS point clouds R. Huang et al. 10.1016/j.isprsjprs.2021.04.017
2. Object Recognition, Segmentation, and Classification of Mobile Laser Scanning Point Clouds: A State of the Art Review E. Che et al. 10.3390/s19040810
3. Visibility analysis for the occlusion detection and characterisation in street point clouds acquired with Mobile Laser Scanning J. Barros-Ribademar et al. 10.1080/10106049.2022.2032392
4. Three-Dimensional Reconstruction of Structural Surface Model of Heritage Bridges Using UAV-Based Photogrammetric Point Clouds Y. Pan et al. 10.3390/rs11101204
5. Merge-Swap Optimization Framework for Supervoxel Generation from Three-Dimensional Point Clouds Y. Xiao et al. 10.3390/rs12030473
6. OPTIMIZATION METHODS OF THE PAVEMENT MANAGEMENT SYSTEM OF BUDAPEST K. Almassy et al. 10.3846/jcem.2019.10925
7. Classification of LiDAR Point Clouds Using Supervoxel-Based Detrended Feature and Perception-Weighted Graphical Model Y. Xu et al. 10.1109/JSTARS.2019.2951293
8. Deep point embedding for urban classification using ALS point clouds: A new perspective from local to global R. Huang et al. 10.1016/j.isprsjprs.2020.02.020
9. Toward Building and Civil Infrastructure Reconstruction From Point Clouds: A Review on Data and Key Techniques Y. Xu & U. Stilla 10.1109/JSTARS.2021.3060568