HIERARCHICAL HIGHER ORDER CRF FOR THE CLASSIFICATION OF AIRBORNE LIDAR POINT CLOUDS IN URBAN AREAS

30 citations as recorded by crossref.

1. Fusion of Airborne LiDAR Point Clouds and Aerial Images for Heterogeneous Land-Use Urban Mapping Y. Megahed et al. 10.3390/rs13040814
2. LASDU: A Large-Scale Aerial LiDAR Dataset for Semantic Labeling in Dense Urban Areas Z. Ye et al. 10.3390/ijgi9070450
3. Local and global encoder network for semantic segmentation of Airborne laser scanning point clouds Y. Lin et al. 10.1016/j.isprsjprs.2021.04.016
4. Multilevel intuitive attention neural network for airborne LiDAR point cloud semantic segmentation Z. Wang et al. 10.1016/j.jag.2024.104020
5. 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
6. DANCE-NET: Density-aware convolution networks with context encoding for airborne LiDAR point cloud classification X. Li et al. 10.1016/j.isprsjprs.2020.05.023
7. Feature-preserving 3D mesh simplification for urban buildings M. Li & L. Nan 10.1016/j.isprsjprs.2021.01.006
8. Geospatial Computer Vision Based on Multi-Modal Data—How Valuable Is Shape Information for the Extraction of Semantic Information? M. Weinmann & M. Weinmann 10.3390/rs10010002
9. Segmentation and Multi-Scale Convolutional Neural Network-Based Classification of Airborne Laser Scanner Data Z. Yang et al. 10.3390/s18103347
10. Semantic Segmentation of Urban Airborne LiDAR Point Clouds Based on Fusion Attention Mechanism and Multi-Scale Features J. Wang et al. 10.3390/rs15215248
11. Structure-Aware Convolution for 3D Point Cloud Classification and Segmentation L. Wang et al. 10.3390/rs12040634
12. Building semantic segmentation from large-scale point clouds via primitive recognition C. Romanengo et al. 10.1016/j.gmod.2024.101234
13. Twin deformable point convolutions for airborne laser scanning point cloud classification Y. Mao et al. 10.1016/j.isprsjprs.2025.01.031
14. Integrating Normal Vector Features into an Atrous Convolution Residual Network for LiDAR Point Cloud Classification C. Zhang et al. 10.3390/rs13173427
15. Airborne LiDAR point cloud classification with global-local graph attention convolution neural network C. Wen et al. 10.1016/j.isprsjprs.2021.01.007
16. Deep Spatial Graph Convolution Network with Adaptive Spectral Aggregated Residuals for Multispectral Point Cloud Classification Q. Wang et al. 10.3390/rs15184417
17. Hierarchical Classification of Urban ALS Data by Using Geometry and Intensity Information X. Liu et al. 10.3390/s19204583
18. MSNet: Multi-Scale Convolutional Network for Point Cloud Classification L. Wang et al. 10.3390/rs10040612
19. Large-Scale ALS Data Semantic Classification Integrating Location-Context-Semantics Cues by Higher-Order CRF W. Han et al. 10.3390/s20061700
20. Contextual segment-based classification of airborne laser scanner data G. Vosselman et al. 10.1016/j.isprsjprs.2017.03.010
21. A Supervoxel-Based Random Forest Method for Robust and Effective Airborne LiDAR Point Cloud Classification L. Liao et al. 10.3390/rs14061516
22. Beyond single receptive field: A receptive field fusion-and-stratification network for airborne laser scanning point cloud classification Y. Mao et al. 10.1016/j.isprsjprs.2022.03.019
23. Hyperspectral image-aided LiDAR point cloud labeling via spatio-spectral feature representation learning P. Akwensi et al. 10.1016/j.jag.2023.103302
24. Deep learning-based semantic segmentation of three-dimensional point cloud: a comprehensive review D. Singh & M. Yadav 10.1080/01431161.2023.2297177
25. A multi-scale fully convolutional network for semantic labeling of 3D point clouds M. Yousefhussien et al. 10.1016/j.isprsjprs.2018.03.018
26. Three-Dimensional Urban Land Cover Classification by Prior-Level Fusion of LiDAR Point Cloud and Optical Imagery Y. Chen et al. 10.3390/rs13234928
27. 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
28. Graph Attention Feature Fusion Network for ALS Point Cloud Classification J. Yang et al. 10.3390/s21186193
29. A Hierarchical Approach for Point Cloud Classification With 3D Contextual Features C. Feng & Z. Guo 10.1109/JSTARS.2021.3077568
30. Airborne LiDAR point cloud classification using PointNet++ network with full neighborhood features X. Nong et al. 10.1371/journal.pone.0280346