Feature relevance assessment for the semantic interpretation of 3D point cloud data

71 citations as recorded by crossref.

1. Investigation of landslide-based road surface deformation in mountainous areas with single period UAV data M. Zeybek & S. Biçici 10.1080/10106049.2022.2142969
2. Edge highlighting with depth-dependent opacity gradation of laser-scanned point clouds improves the accuracy of perceived depth in transparent multi-view 3D visualizations D. Aoi et al. 10.1007/s12650-024-01014-9
3. 3D Photogrammetry Point Cloud Segmentation Using a Model Ensembling Framework M. Chen et al. 10.1061/(ASCE)CP.1943-5487.0000929
4. Stem Detection from Terrestrial Laser Scanning Data with Features Selected via Stem-Based Evaluation M. Chen et al. 10.3390/f14102035
5. A geometry-aware attention network for semantic segmentation of MLS point clouds J. Wan et al. 10.1080/13658816.2022.2111572
6. 3D Point Cloud Analysis and Classification in Large-Scale Scene Based on Deep Learning L. Wang et al. 10.1109/ACCESS.2019.2909742
7. Edge highlighting of laser-scanned point clouds improves the accuracy of perceived depth in transparent multi-view 3D visualizations D. Aoi et al. 10.1142/S1793962324500211
8. Vehicle Recognition Based on Region Growth of Relative Tension and Similarity Measurement of Side Projection Profile of Vehicle Body M. Zheng & H. Wu 10.3390/rs15061493
9. Semantic point cloud interpretation based on optimal neighborhoods, relevant features and efficient classifiers M. Weinmann et al. 10.1016/j.isprsjprs.2015.01.016
10. Reconstructing Geometrical Models of Indoor Environments Based on Point Clouds M. Kellner et al. 10.3390/rs15184421
11. D-Net: A Density-Based Convolutional Neural Network for Mobile LiDAR Point Clouds Classification in Urban Areas M. Zaboli et al. 10.3390/rs15092317
12. Segmentation of Façades from Urban 3D Point Clouds Using Geometrical and Morphological Attribute-Based Operators A. Serna et al. 10.3390/ijgi5010006
13. UAV-based urban structural damage assessment using object-based image analysis and semantic reasoning J. Fernandez Galarreta et al. 10.5194/nhess-15-1087-2015
14. A Bayesian-Network-Based Classification Method Integrating Airborne LiDAR Data With Optical Images Z. Kang et al. 10.1109/JSTARS.2016.2628775
15. Discriminative-Dictionary-Learning-Based Multilevel Point-Cluster Features for ALS Point-Cloud Classification Z. Zhang et al. 10.1109/TGRS.2016.2599163
16. 面向城市场景异源多时相点云的自动配准 杨. Yang Zexin et al. 10.3788/CJL221360
17. Weld Bead Detection Based on 3D Geometric Features and Machine Learning Approaches P. Rodriguez-Gonzalvez & M. Rodriguez-Martin 10.1109/ACCESS.2019.2891367
18. Quantifying Multi-Scale Performance of Geometric Features for Efficient Extraction of Insulators from Point Clouds J. Tang et al. 10.3390/rs15133339
19. Situational NMAC risk assessment using conditional random field for UAV tiered aerial passage operations N. Zhang et al. 10.1016/j.ast.2024.109397
20. Weakly supervised semantic segmentation of airborne laser scanning point clouds Y. Lin et al. 10.1016/j.isprsjprs.2022.03.001
21. Noise-robust transparent visualization of large-scale point clouds acquired by laser scanning T. Uchida et al. 10.1016/j.isprsjprs.2020.01.004
22. Long-term mass-balance monitoring and evolution of ice in caves through structure from motion–multi-view stereo and ground-penetrating radar techniques A. Securo et al. 10.1177/03091333211065123
23. Evaluation of Machine Learning Algorithms for Classification of Infrastructure Elements in Complex Structures Y. Yilmaz et al. 10.1007/s12205-024-2062-8
24. Damage Detection of the RC Building in TLS Point Clouds Using 3D Deep Neural Network W. SHAO et al. 10.2493/jjspe.89.70
25. Adaptive Multiscale Feature Extraction in a Distributed System for Semantic Classification of Airborne LiDAR Point Clouds S. Singh & J. Sreevalsan-Nair 10.1109/LGRS.2021.3099935
26. 3D Classification of Cold-Water Coral Reefs: A Comparison of Classification Techniques for 3D Reconstructions of Cold-Water Coral Reefs and Seabed L. de Oliveira et al. 10.3389/fmars.2021.640713
27. Methodology of Detection and Classification of Selected Aviation Obstacles Based on UAV Dense Image Matching M. Lalak & D. Wierzbicki 10.1109/JSTARS.2022.3149105
28. Comparative Evaluation of LiDAR systems for transport infrastructure: case studies and performance analysis R. Rashdi et al. 10.1080/22797254.2024.2316304
29. Multi feature-rich synthetic colour to improve human visual perception of point clouds J. Balado et al. 10.1016/j.isprsjprs.2023.01.019
30. Integrated Change Detection and Classification in Urban Areas Based on Airborne Laser Scanning Point Clouds T. Tran et al. 10.3390/s18020448
31. Distinctive 2D and 3D features for automated large-scale scene analysis in urban areas M. Weinmann et al. 10.1016/j.cag.2015.01.006
32. Machine learning-based segmentation of aerial LiDAR point cloud data on building roof E. Dey et al. 10.1080/22797254.2023.2210745
33. Semantic-Based Building Extraction from LiDAR Point Clouds Using Contexts and Optimization in Complex Environment Y. Wang et al. 10.3390/s20123386
34. Lithic or metal tools: Techno-traceological and 3D analysis of rock art L. Zotkina & V. Kovalev 10.1016/j.daach.2019.e00099
35. A Deep Neural Network Using Double Self-Attention Mechanism for ALS Point Cloud Segmentation L. Yu et al. 10.1109/ACCESS.2022.3158438
36. A Multilevel Point-Cluster-Based Discriminative Feature for ALS Point Cloud Classification Z. Zhang et al. 10.1109/TGRS.2016.2514508
37. Moving objects extraction for building environmental maps describing human walking activity using a 3D LiDAR T. Nishio & M. Niitsuma 10.1080/01691864.2022.2126732
38. A Multiscale and Hierarchical Feature Extraction Method for Terrestrial Laser Scanning Point Cloud Classification Z. Wang et al. 10.1109/TGRS.2014.2359951
39. Analytical and numerical investigations on the accuracy and robustness of geometric features extracted from 3D point cloud data A. Dittrich et al. 10.1016/j.isprsjprs.2017.02.012
40. Evaluation of data subsampling and neighbourhood selection for mobile LiDAR data classification M. Mohamed et al. 10.1016/j.ejrs.2021.04.003
41. TerraMobilita/iQmulus urban point cloud analysis benchmark B. Vallet et al. 10.1016/j.cag.2015.03.004
42. Geometric Primitives in LiDAR Point Clouds: A Review S. Xia et al. 10.1109/JSTARS.2020.2969119
43. MFOC-CliqueNet: A CliqueNet-Based Optimal Combination of Multidimensional Features Classification Method for Large-Scale Laser Point Clouds L. Wang et al. 10.1155/2022/2446212
44. A probabilistic graphical model for the classification of mobile LiDAR point clouds Z. Kang & J. Yang 10.1016/j.isprsjprs.2018.04.018
45. PCEDNet: A Lightweight Neural Network for Fast and Interactive Edge Detection in 3D Point Clouds C. Himeur et al. 10.1145/3481804
46. Complex environment localization system using complementary ceiling and ground map information C. Yu et al. 10.1007/s10514-023-10116-6
47. 3D Large-Scale Point Cloud Semantic Segmentation Using Optimal Feature Description Vector Network: OFDV-Net J. Li et al. 10.1109/ACCESS.2020.3044166
48. Classification of LiDAR Point Clouds Using Supervoxel-Based Detrended Feature and Perception-Weighted Graphical Model Y. Xu et al. 10.1109/JSTARS.2019.2951293
49. Fast template matching and pose estimation in 3D point clouds R. Vock et al. 10.1016/j.cag.2018.12.007
50. Contour Extraction in Buildings in Airborne LiDAR Point Clouds Using Multiscale Local Geometric Descriptors and Visual Analytics J. Sreevalsan-Nair et al. 10.1109/JSTARS.2018.2833801
51. An Adaptive End-to-End Classification Approach for Mobile Laser Scanning Point Clouds Based on Knowledge in Urban Scenes M. Zheng et al. 10.3390/rs11020186
52. HAVANA: Hard Negative Sample-Aware Self-Supervised Contrastive Learning for Airborne Laser Scanning Point Cloud Semantic Segmentation Y. Zhang et al. 10.3390/rs16030485
53. Classification of ALS Point Clouds Using End-to-End Deep Learning L. Winiwarter et al. 10.1007/s41064-019-00073-0
54. Machine Learning Generalisation across Different 3D Architectural Heritage E. Grilli & F. Remondino 10.3390/ijgi9060379
55. Hierarchical SVM for Semantic Segmentation of 3D Point Clouds for Infrastructure Scenes M. Mansour et al. 10.3390/infrastructures9050083
56. Robust Building Detection in Urban Environments from Airborne LiDAR Data: A Geometry-Based Approach R. dos Santos & M. Galo 10.1109/JSTARS.2024.3391050
57. Integration and evaluation of the high-precision MotionCam-3D into a 3D thermography system M. Méndez-Bohórquez et al. 10.5194/jsss-13-123-2024
58. Joint Margin, Cograph, and Label Constraints for Semisupervised Scene Parsing From Point Clouds J. Mei et al. 10.1109/TGRS.2018.2811748
59. Large-Scale ALS Point Cloud Segmentation via Projection-Based Context Embedding H. Dai et al. 10.1109/TGRS.2024.3392267
60. A Dual Attention Neural Network for Airborne LiDAR Point Cloud Semantic Segmentation K. Zhang et al. 10.1109/TGRS.2022.3201902
61. 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
62. Pole-Like Objects Segmentation and Multiscale Classification-Based Fusion from Mobile Point Clouds in Road Scenes Z. Wang et al. 10.3390/rs13214382
63. Evaluation of surface damage for in-service deteriorated agricultural concrete headworks using 3D point clouds by laser scanning method K. Shibano et al. 10.1007/s10333-023-00965-3
64. 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
65. From the Semantic Point Cloud to Heritage-Building Information Modeling: A Semiautomatic Approach Exploiting Machine Learning V. Croce et al. 10.3390/rs13030461
66. Two-Dimensional Shape Analysis of Complex Geometry Based on Photogrammetric Models of Iconostases I. Đurić et al. 10.3390/app11157042
67. Accuracy Assessment of Cultural Heritage Models Extracting 3D Point Cloud Geometric Features with RPAS SfM-MVS and TLS Techniques A. Capolupo 10.3390/drones5040145
68. GOGCN: an attentional network with geometry and orientation-awareness for airborne LiDAR point cloud classification Y. Chen et al. 10.1080/00396265.2024.2341502
69. Improvement of 3D LiDAR point cloud classification of urban road environment based on random forest classifier M. Mohamed et al. 10.1080/10106049.2022.2102218
70. Accurate Registration of Cross-Modality Geometry via Consistent Clustering M. Zhao et al. 10.1109/TVCG.2023.3247169
71. Combined Use of 3D and HSI for the Classification of Printed Circuit Board Components S. Polat et al. 10.3390/app11188424