ENTITIES AND FEATURES FOR CLASSIFCATION OF AIRBORNE LASER SCANNING DATA IN URBAN AREA

13 citations as recorded by crossref.

1. A Multiscale and Hierarchical Feature Extraction Method for Terrestrial Laser Scanning Point Cloud Classification Z. Wang et al. 10.1109/TGRS.2014.2359951
2. Data frame aware optimized Octomap-based dynamic object detection and removal in Mobile Laser Scanning data Z. Liu et al. 10.1016/j.aej.2023.05.014
3. Fusion of airborne laserscanning point clouds and images for supervised and unsupervised scene classification M. Gerke & J. Xiao 10.1016/j.isprsjprs.2013.10.011
4. A Multilevel Point-Cluster-Based Discriminative Feature for ALS Point Cloud Classification Z. Zhang et al. 10.1109/TGRS.2016.2514508
5. Multiple-entity based classification of airborne laser scanning data in urban areas S. Xu et al. 10.1016/j.isprsjprs.2013.11.008
6. Use of active learning for earthquake damage mapping from UAV photogrammetric point clouds Z. Xu et al. 10.1080/01431161.2018.1466083
7. Segmentation and Multi-Scale Convolutional Neural Network-Based Classification of Airborne Laser Scanner Data Z. Yang et al. 10.3390/s18103347
8. Classification of airborne laser scanning point clouds based on binomial logistic regression analysis C. Stal et al. 10.1080/01431161.2014.904973
9. Contextual segment-based classification of airborne laser scanner data G. Vosselman et al. 10.1016/j.isprsjprs.2017.03.010
10. Contribution of Colour Information to the Classification of 3D Points from Aerial Images N. Yastikli & Z. Cetin 10.1007/s13369-023-08028-9
11. Building Roof Superstructures Classification From Imbalanced and Low Density Airborne LiDAR Point Cloud B. Aissou et al. 10.1109/JSEN.2021.3073535
12. Segment-Based Classification of Damaged Building Roofs in Aerial Laser Scanning Data K. Khoshelham et al. 10.1109/LGRS.2013.2257676
13. A Simple Semantic-Based Data Storage Layout for Querying Point Clouds S. El-Mahgary et al. 10.3390/ijgi9020072