Scene-Layout Compatible Conditional Random Field for Classifying Terrestrial Laser Point Clouds

8 citations as recorded by crossref.

1. Multi-Range Conditional Random Field for Classifying Railway Electrification System Objects Using Mobile Laser Scanning Data J. Jung et al. 10.3390/rs8121008
2. Multi-Scale Hierarchical CRF for Railway Electrification Asset Classification From Mobile Laser Scanning Data L. Chen et al. 10.1109/JSTARS.2019.2918272
3. Contextual segment-based classification of airborne laser scanner data G. Vosselman et al. 10.1016/j.isprsjprs.2017.03.010
4. Decision Fusion With Multiple Spatial Supports by Conditional Random Fields D. Tuia et al. 10.1109/TGRS.2018.2797316
5. Improving LiDAR classification accuracy by contextual label smoothing in post-processing N. Li et al. 10.1016/j.isprsjprs.2018.11.022
6. A Comparison of Deep Learning Methods for Airborne Lidar Point Clouds Classification N. Li et al. 10.1109/JSTARS.2021.3091389
7. Segmentation and Multi-Scale Convolutional Neural Network-Based Classification of Airborne Laser Scanner Data Z. Yang et al. 10.3390/s18103347
8. Using Training Samples Retrieved from a Topographic Map and Unsupervised Segmentation for the Classification of Airborne Laser Scanning Data Z. Yang et al. 10.3390/rs12050877