A new approach for roof segmentation from airborne LiDAR point clouds
Author:
Affiliation:
1. Strategic Support Force Information Engineering University, Zhengzhou, China
2. Center of TH Satellite of China, Beijing, China
Funder
National Natural Science Foundation of China
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering,Earth and Planetary Sciences (miscellaneous)
Link
https://www.tandfonline.com/doi/pdf/10.1080/2150704X.2020.1847348
Reference16 articles.
1. H-RANSAC: A HYBRID POINT CLOUD SEGMENTATION COMBINING 2D AND 3D DATA
2. An efficient global energy optimization approach for robust 3D plane segmentation of point clouds
3. An Improved RANSAC for 3D Point Cloud Plane Segmentation Based on Normal Distribution Transformation Cells
4. Roof Plane Segmentation from Airborne LiDAR Data Using Hierarchical Clustering and Boundary Relabeling
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1. Vo-Norvana : Versatile Framework for Efficient Segmentation of Large Point Cloud Data Sets;Journal of Computing in Civil Engineering;2023-07
2. Roof Segmentation From Airborne LiDAR Using Octree-Based Hybrid Region Growing and Boundary Neighborhood Verification Voting;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2023
3. Design and Research of Low-Cost and Self-Adaptive Terrestrial Laser Scanning for Indoor Measurement Based on Adaptive Indoor Measurement Scanning Strategy and Structural Characteristics Point Cloud Segmentation;Advances in Civil Engineering;2022-07-21
4. 3D Instance Segmentation and Object Detection Framework Based on the Fusion of Lidar Remote Sensing and Optical Image Sensing;Remote Sensing;2021-08-19
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