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

12 citations as recorded by crossref.

1. A Multiscale and Hierarchical Feature Extraction Method for Terrestrial Laser Scanning Point Cloud Classification Z. Wang et al.
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4. A Multilevel Point-Cluster-Based Discriminative Feature for ALS Point Cloud Classification Z. Zhang et al.
5. Multiple-entity based classification of airborne laser scanning data in urban areas S. Xu et al.
6. Use of active learning for earthquake damage mapping from UAV photogrammetric point clouds Z. Xu et al.
7. Classification of airborne laser scanning point clouds based on binomial logistic regression analysis C. Stal et al.
8. Contextual segment-based classification of airborne laser scanner data G. Vosselman et al.
9. Contribution of Colour Information to the Classification of 3D Points from Aerial Images N. Yastikli & Z. Cetin
10. Building Roof Superstructures Classification From Imbalanced and Low Density Airborne LiDAR Point Cloud B. Aissou et al.
11. Segment-Based Classification of Damaged Building Roofs in Aerial Laser Scanning Data K. Khoshelham et al.
12. A Simple Semantic-Based Data Storage Layout for Querying Point Clouds S. El-Mahgary et al.