Building Instance Mapping From ALS Point Clouds Aided by Polygonal Maps-Reference-Cited by-同舟云学术

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Building Instance Mapping From ALS Point Clouds Aided by Polygonal Maps

Published:2022 Issue: Volume:60 Page:1-13
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Xia Shaobo^ORCID,Xu Sheng^ORCID,Wang Ruisheng^ORCID,Li Jonathan^ORCID,Wang Guanghui^ORCID

Funder

Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Natural Sciences and Engineering Research Council of Canada

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09459429.pdf?arnumber=9459429

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. Multilevel intuitive attention neural network for airborne LiDAR point cloud semantic segmentation;International Journal of Applied Earth Observation and Geoinformation;2024-08

2. When Vectorization Meets Change Detection;IEEE Transactions on Geoscience and Remote Sensing;2024

3. Completing point clouds using structural constraints for large-scale points absence in 3D building reconstruction;ISPRS Journal of Photogrammetry and Remote Sensing;2023-10

4. Scan to BIM Mapping Process Description for Building Representation in 3D GIS;Applied Sciences;2023-09-04

5. Hyperspectral Image Instance Segmentation Using Spectral–Spatial Feature Pyramid Network;IEEE Transactions on Geoscience and Remote Sensing;2023

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