Feature-constrained registration of building point clouds acquired by terrestrial and airborne laser scanners
Author:
Affiliation:
1. Tongji University, College of Surveying and Geo-infomatics, Siping Road 1239, Shanghai 200092, China
2. Georgia Institute of Technology, Department of Civil and Environmental Engineering, Atlanta, Georgia 30332
Publisher
SPIE-Intl Soc Optical Eng
Subject
General Earth and Planetary Sciences
Cited by 21 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Automated Point Cloud Registration Approach Optimized for a Stop-and-Go Scanning System;Sensors;2023-12-26
2. A Stepwise Minimum Spanning Tree Matching Method for Registering Vehicle-Borne and Backpack LiDAR Point Clouds;IEEE Transactions on Geoscience and Remote Sensing;2022
3. Processing Strategy and Comparative Performance of Different Mobile LiDAR System Grades for Bridge Monitoring: A Case Study;Sensors;2021-11-13
4. A novel method for locating the local terrestrial laser scans in a global aerial point cloud;Journal of Geospatial Information Technology;2021-03-01
5. Accurate Calibration of a Self-Developed Vehicle-Borne LiDAR Scanning System;Journal of Sensors;2021-02-06
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