Comprehensive Automated 3D Urban Environment Modelling Using Terrestrial Laser Scanning Point Cloud
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/7784518/7789490/07789577.pdf?arnumber=7789577
Cited by 7 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. Research on point cloud organization method based on KD tree;International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022);2023-02-10
2. PIIE-DSA-Net for 3D Semantic Segmentation of Urban Indoor and Outdoor Datasets;Remote Sensing;2022-07-26
3. Developments in Three-Dimensional Scanning Techniques and Scanners;Lecture Notes in Mechanical Engineering;2020-12-12
4. MVF-CNN: Fusion of Multilevel Features for Large-Scale Point Cloud Classification;IEEE Access;2019
5. End-to-End Deep Structured Models for Drawing Crosswalks;Computer Vision – ECCV 2018;2018
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