Point cloud segmentation for urban scene classification

42 citations as recorded by crossref.

1. Large-scale urban point cloud labeling and reconstruction L. Zhang et al. 10.1016/j.isprsjprs.2018.02.008
2. Deep point-based scene labeling with depth mapping and geometric patch feature encoding J. Cai et al. 10.1016/j.gmod.2019.101033
3. A Novel Method for Plane Extraction from Low-Resolution Inhomogeneous Point Clouds and its Application to a Customized Low-Cost Mobile Mapping System W. Fan et al. 10.3390/rs11232789
4. Separating Tree Photosynthetic and Non-Photosynthetic Components from Point Cloud Data Using Dynamic Segment Merging D. Wang et al. 10.3390/f9050252
5. Open software and standards in the realm of laser scanning technology F. Pirotti 10.1186/s40965-019-0073-z
6. Classification of image matching point clouds over an urban area T. Tran et al. 10.1080/01431161.2018.1452069
7. DeepPipes: Learning 3D pipelines reconstruction from point clouds L. Cheng et al. 10.1016/j.gmod.2020.101079
8. Machine Learning Generalisation across Different 3D Architectural Heritage E. Grilli & F. Remondino 10.3390/ijgi9060379
9. Manufacturing deviation inspection method for ship block alignment structures based on terrestrial laser scanner data C. Tang et al. 10.1016/j.measurement.2024.114236
10. A Hybrid Semantic Point Cloud Classification-Segmentation Framework Based on Geometric Features and Semantic Rules M. Weinmann et al. 10.1007/s41064-017-0020-5
11. Detection and Classification of Changes in Buildings from Airborne Laser Scanning Data S. Xu et al. 10.3390/rs71215867
12. Segmentation-based classification for 3D point clouds in the road environment B. Xiang et al. 10.1080/01431161.2018.1455235
13. Automated Reconstruction of Parametric BIM for Bridge Based on Terrestrial Laser Scanning Data G. Qin et al. 10.1155/2021/8899323
14. A Classification-Segmentation Framework for the Detection of Individual Trees in Dense MMS Point Cloud Data Acquired in Urban Areas M. Weinmann et al. 10.3390/rs9030277
15. Shape classification guided method for automated extraction of urban trees from terrestrial laser scanning point clouds X. Ning et al. 10.1007/s11042-021-11328-7
16. Automated Segmentation of Leaves From Deciduous Trees in Terrestrial Laser Scanning Point Clouds Z. Koma et al. 10.1109/LGRS.2018.2841429
17. An Efficient Plane-Segmentation Method for Indoor Point Clouds Based on Countability of Saliency Directions X. Ge et al. 10.3390/ijgi11040247
18. An Object-Based Bidirectional Method for Integrated Building Extraction and Change Detection between Multimodal Point Clouds C. Dai et al. 10.3390/rs12101680
19. A Simple Semantic-Based Data Storage Layout for Querying Point Clouds S. El-Mahgary et al. 10.3390/ijgi9020072
20. Improving LiDAR classification accuracy by contextual label smoothing in post-processing N. Li et al. 10.1016/j.isprsjprs.2018.11.022
21. The Point Cloud Semantic Segmentation Method for the Ming and Qing Dynasties’ Official-Style Architecture Roof Considering the Construction Regulations Y. Dong et al. 10.3390/ijgi11040214
22. Parameter optimization criteria guided 3D point cloud classification H. Li et al. 10.1007/s11042-018-6838-z
23. Identification of Linear Vegetation Elements in a Rural Landscape Using LiDAR Point Clouds C. Lucas et al. 10.3390/rs11030292
24. An Efficient Planar Feature Fitting Method Using Point Cloud Simplification and Threshold-Independent BaySAC Z. Kang et al. 10.1109/LGRS.2016.2614749
25. Contextual segment-based classification of airborne laser scanner data G. Vosselman et al. 10.1016/j.isprsjprs.2017.03.010
26. A Density-Based Clustering Method for Urban Scene Mobile Laser Scanning Data Segmentation Y. Li et al. 10.3390/rs9040331
27. Obstacle Detection for Autonomous Guided Vehicles through Point Cloud Clustering Using Depth Data M. Pires et al. 10.3390/machines10050332
28. Development of Mobile Mapping System for 3D Road Asset Inventory N. Sairam et al. 10.3390/s16030367
29. Robust Segmentation for Large Volumes of Laser Scanning Three-Dimensional Point Cloud Data A. Nurunnabi et al. 10.1109/TGRS.2016.2551546
30. 3D Point Cloud Data in Conveying Information for Local Green Factor Assessment K. Jaalama et al. 10.3390/ijgi10110762
31. Semantic point cloud interpretation based on optimal neighborhoods, relevant features and efficient classifiers M. Weinmann et al. 10.1016/j.isprsjprs.2015.01.016
32. Informal settlement classification using point-cloud and image-based features from UAV data C. Gevaert et al. 10.1016/j.isprsjprs.2017.01.017
33. Preregistration Classification of Mobile LIDAR Data Using Spatial Correlations V. Lehtola et al. 10.1109/TGRS.2019.2909351
34. Investigating Semi-Automated Cadastral Boundaries Extraction from Airborne Laser Scanned Data X. Luo et al. 10.3390/land6030060
35. ALS Point Cloud Classification by Integrating an Improved Fully Convolutional Network into Transfer Learning with Multi-Scale and Multi-View Deep Features X. Lei et al. 10.3390/s20236969
36. Building Roof Superstructures Classification From Imbalanced and Low Density Airborne LiDAR Point Cloud B. Aissou et al. 10.1109/JSEN.2021.3073535
37. Classification of ALS Point Clouds Using End-to-End Deep Learning L. Winiwarter et al. 10.1007/s41064-019-00073-0
38. 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
39. Perception, Planning, Control, and Coordination for Autonomous Vehicles S. Pendleton et al. 10.3390/machines5010006
40. A Novel Approach for the Detection of Standing Tree Stems from Plot-Level Terrestrial Laser Scanning Data W. Zhang et al. 10.3390/rs11020211
41. DPRNet: Deep 3D Point Based Residual Network for Semantic Segmentation and Classification of 3D Point Clouds S. Arshad et al. 10.1109/ACCESS.2019.2918862
42. A Two-Stage Approach for Individual Tree Segmentation From TLS Point Clouds L. Chang et al. 10.1109/JSTARS.2022.3212445