Point cloud segmentation for urban scene classification

37 citations as recorded by crossref.

1. Separating Tree Photosynthetic and Non-Photosynthetic Components from Point Cloud Data Using Dynamic Segment Merging D. Wang et al.
2. Open software and standards in the realm of laser scanning technology F. Pirotti
3. Classification of image matching point clouds over an urban area T. Tran et al.
4. DeepPipes: Learning 3D pipelines reconstruction from point clouds L. Cheng et al.
5. Manufacturing deviation inspection method for ship block alignment structures based on terrestrial laser scanner data C. Tang et al.
6. A Hybrid Semantic Point Cloud Classification-Segmentation Framework Based on Geometric Features and Semantic Rules M. Weinmann et al.
7. Detection and Classification of Changes in Buildings from Airborne Laser Scanning Data S. Xu et al.
8. Segmentation-based classification for 3D point clouds in the road environment B. Xiang et al.
9. Insulator shed segmentation from 3D point cloud via normal reconstruction based on Gaussian mapping S. Zhang et al.
10. Automated Reconstruction of Parametric BIM for Bridge Based on Terrestrial Laser Scanning Data G. Qin et al.
11. A Classification-Segmentation Framework for the Detection of Individual Trees in Dense MMS Point Cloud Data Acquired in Urban Areas M. Weinmann et al.
12. Shape classification guided method for automated extraction of urban trees from terrestrial laser scanning point clouds X. Ning et al.
13. Automated Segmentation of Leaves From Deciduous Trees in Terrestrial Laser Scanning Point Clouds Z. Koma et al.
14. An Efficient Plane-Segmentation Method for Indoor Point Clouds Based on Countability of Saliency Directions X. Ge et al.
15. A Point Cloud Segmentation Method for Pigs from Complex Point Cloud Environments Based on the Improved PointNet++ K. Chang et al.
16. A Simple Semantic-Based Data Storage Layout for Querying Point Clouds S. El-Mahgary et al.
17. Improving LiDAR classification accuracy by contextual label smoothing in post-processing N. Li et al.
18. AMIANet: Asymmetric Multimodal Interactive Augmentation Network for Semantic Segmentation of Remote Sensing Imagery T. Liu et al.
19. Parameter optimization criteria guided 3D point cloud classification H. Li et al.
20. Identification of Linear Vegetation Elements in a Rural Landscape Using LiDAR Point Clouds C. Lucas et al.
21. An Efficient Planar Feature Fitting Method Using Point Cloud Simplification and Threshold-Independent BaySAC Z. Kang et al.
22. Contextual segment-based classification of airborne laser scanner data G. Vosselman et al.
23. Obstacle Detection for Autonomous Guided Vehicles through Point Cloud Clustering Using Depth Data M. Pires et al.
24. Development of Mobile Mapping System for 3D Road Asset Inventory N. Sairam et al.
25. Robust Segmentation for Large Volumes of Laser Scanning Three-Dimensional Point Cloud Data A. Nurunnabi et al.
26. 3D Point Cloud Data in Conveying Information for Local Green Factor Assessment K. Jaalama et al.
27. Semantic point cloud interpretation based on optimal neighborhoods, relevant features and efficient classifiers M. Weinmann et al.
28. Informal settlement classification using point-cloud and image-based features from UAV data C. Gevaert et al.
29. Preregistration Classification of Mobile LIDAR Data Using Spatial Correlations V. Lehtola et al.
30. 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.
31. Building Roof Superstructures Classification From Imbalanced and Low Density Airborne LiDAR Point Cloud B. Aissou et al.
32. GRASS: Glass Reflection Artifact Suppression Strategy via Virtual Point Removal in LiDAR Point Clouds W. Shao et al.
33. Classification of ALS Point Clouds Using End-to-End Deep Learning L. Winiwarter et al.
34. DCARN: Deep Context Aware Recurrent Neural Network for Semantic Segmentation of Large Scale Unstructured 3D Point Cloud S. Mehmood et al.
35. Generalized Extraction of Bolts, Mesh, and Rock in Tunnel Point Clouds: A Critical Comparison of Geometric Feature-Based Methods Using Random Forest and Neural Networks L. Weidner & G. Walton
36. DPRNet: Deep 3D Point Based Residual Network for Semantic Segmentation and Classification of 3D Point Clouds S. Arshad et al.
37. A Two-Stage Approach for Individual Tree Segmentation From TLS Point Clouds L. Chang et al.