WEAKLY SUPERVISED SEGMENTATION-AIDED CLASSIFICATION OF URBAN SCENES FROM 3D LIDAR POINT CLOUDS

44 citations as recorded by crossref.

1. 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
2. An Automatic Method for Tree Species Point Cloud Segmentation Based on Deep Learning L. Pu et al. 10.1007/s12524-021-01358-x
3. Automatic Extraction and Labelling of Memorial Objects From 3D Point Clouds N. Arnold et al. 10.5334/jcaa.66
4. Weld Bead Detection Based on 3D Geometric Features and Machine Learning Approaches P. Rodriguez-Gonzalvez & M. Rodriguez-Martin 10.1109/ACCESS.2019.2891367
5. 基于车载激光点云的路面坑槽检测方法 马. Ma Xinjiang et al. 10.3788/CJL231000
6. LeWoS: A universal leaf‐wood classification method to facilitate the 3D modelling of large tropical trees using terrestrial LiDAR D. Wang et al. 10.1111/2041-210X.13342
7. E-L 0: Advanced Surface Segmentation of LiDAR Point Clouds in Open-Pit Mine Stepped Terrain T. Chen et al. 10.1109/JSTARS.2025.3592170
8. Hierarchical heterogeneous graph learning for color-missing ALS pointcloud segmentation B. Huang & Y. Zhu 10.1007/s12293-024-00426-2
9. The 3D narrow butt weld seam detection system based on the binocular consistency correction X. Wang et al. 10.1007/s10845-022-01927-y
10. A Convolutional Neural Network-Based 3D Semantic Labeling Method for ALS Point Clouds Z. Yang et al. 10.3390/rs9090936
11. FAIS: Fully Automatic Indoor Surveying Framework of Terrestrial Laser Scanning Point Clouds in Large-Scale Indoor Environments W. Li et al. 10.3390/rs17162863
12. DCARN: Deep Context Aware Recurrent Neural Network for Semantic Segmentation of Large Scale Unstructured 3D Point Cloud S. Mehmood et al. 10.1007/s11063-020-10368-8
13. Local-to-global structure prior guided high-precision point cloud registration framework based on FPP X. Wang et al. 10.1016/j.measurement.2023.112840
14. Segmentation and Multi-Scale Convolutional Neural Network-Based Classification of Airborne Laser Scanner Data Z. Yang et al. 10.3390/s18103347
15. 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
16. Weakly-Supervised Point Cloud Segmentation Combining Pseudo Label Generation and Noise Label Learning A. Deng et al. 10.3724/SP.J.1089.2023.19332
17. Weakly supervised semantic segmentation of airborne laser scanning point clouds Y. Lin et al. 10.1016/j.isprsjprs.2022.03.001
18. Comparison of stand characteristic parameters and biomass estimations from light detection and ranging and structure-from-motion point clouds Z. Xu et al. 10.1117/1.JRS.14.022209
19. Region-Based Edge Convolutions With Geometric Attributes for the Semantic Segmentation of Large-Scale 3-D Point Clouds J. Contreras et al. 10.1109/JSTARS.2020.2998037
20. Road boundary extraction method from mobile laser scanning point clouds G. Xin et al. 10.1088/1361-6501/ad89ec
21. 3D point cloud descriptors: state-of-the-art X. Han et al. 10.1007/s10462-023-10486-4
22. A new weakly supervised approach for ALS point cloud semantic segmentation P. Wang & W. Yao 10.1016/j.isprsjprs.2022.04.016
23. SnapshotNet: Self-supervised feature learning for point cloud data segmentation using minimal labeled data X. Li et al. 10.1016/j.cviu.2021.103339
24. Mesh Oversegmentation with Segmentation-Aware Loss J. Adam et al. 10.1016/j.ins.2022.10.039
25. Mapping multispectral Digital Images using a Cloud Computing software: applications from UAV images J. Saura et al. 10.1016/j.heliyon.2019.e01277
26. Sparse and Low-Overlapping Point Cloud Registration Network for Indoor Building Environments Z. Zhang et al. 10.1061/(ASCE)CP.1943-5487.0000959
27. Pseudo-labelling-aided semantic segmentation on sparsely annotated 3D point clouds Y. Yao et al. 10.1186/s41074-020-00064-w
28. Region-Enhanced Feature Learning for Scene Semantic Segmentation X. Kang et al. 10.1109/TMM.2023.3342718
29. Integrating OpenStreetMap tags for efficient LiDAR point cloud classification using graph neural networks Y. Chen et al. 10.1080/17538947.2023.2297946
30. Multispectral point cloud superpoint segmentation Q. Wang et al. 10.1007/s11431-023-2528-8
31. Road Segmentation and Environment Labeling for Autonomous Vehicles R. Chen et al. 10.3390/app12147191
32. Classification of LiDAR Point Clouds Using Supervoxel-Based Detrended Feature and Perception-Weighted Graphical Model Y. Xu et al. 10.1109/JSTARS.2019.2951293
33. Dynamic Scene Graph Generation of Point Clouds with Structural Representation Learning C. Qi et al. 10.26599/TST.2023.9010002
34. GECNN for Weakly Supervised Semantic Segmentation of 3D Point Clouds Z. HE et al. 10.1587/transinf.2021EDP7134
35. Conditional Random Field Features and Structure Assessment for Digital Terrain Modeling T. Arevalo-Ramirez & F. Auat Cheein 10.1109/ACCESS.2021.3061371
36. A Deep Learning-Based Method for Extracting Standing Wood Feature Parameters from Terrestrial Laser Scanning Point Clouds of Artificially Planted Forest X. Shen et al. 10.3390/rs14153842
37. Multigranularity Semantic Labeling of Point Clouds for the Measurement of the Rail Tanker Component With Structure Modeling C. Qi & J. Yin 10.1109/TIM.2020.3027406
38. Segmentation of Individual Trees in TLS Point Clouds via Graph Optimization Y. Liu et al. 10.1109/TGRS.2025.3567357
39. A structured regularization framework for spatially smoothing semantic labelings of 3D point clouds L. Landrieu et al. 10.1016/j.isprsjprs.2017.08.010
40. 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
41. A note on the forward-Douglas–Rachford splitting for monotone inclusion and convex optimization H. Raguet 10.1007/s11590-018-1272-8
42. 3DGraphSeg: A Unified Graph Representation- Based Point Cloud Segmentation Framework for Full-Range High-Speed Railway Environments Y. Geng et al. 10.1109/TII.2023.3246492
43. Point Cloud Semantic Segmentation by Adaptively Fusing Information With Varying Distances Z. Jiang et al. 10.1109/LSP.2024.3416876
44. Road potholes detection from MLS point clouds X. Ma et al. 10.1088/1361-6501/acdb8d