SEMANTIC LABELLING OF ULTRA DENSE MLS POINT CLOUDS IN URBAN ROAD CORRIDORS BASED ON FUSING CRF WITH SHAPE PRIORS

7 citations as recorded by crossref.

1. Weld Bead Detection Based on 3D Geometric Features and Machine Learning Approaches P. Rodriguez-Gonzalvez & M. Rodriguez-Martin 10.1109/ACCESS.2019.2891367
2. Scale invariant line-based co-registration of multimodal aerial data using L1 minimization of spatial and angular deviations P. Polewski & W. Yao 10.1016/j.isprsjprs.2019.04.004
3. 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
4. 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
5. Mapping Individual Tree Species and Vitality along Urban Road Corridors with LiDAR and Imaging Sensors: Point Density versus View Perspective J. Wu et al. 10.3390/rs10091403
6. Ground Surface Recognition at Voxel Scale From Mobile Laser Scanning Data in Urban Environment H. Zhao et al. 10.1109/LGRS.2019.2919297
7. GraNet: Global relation-aware attentional network for semantic segmentation of ALS point clouds R. Huang et al. 10.1016/j.isprsjprs.2021.04.017