Self-Supervised Pre-Training for 3-D Roof Reconstruction on LiDAR Data-Reference-Cited by-同舟云学术

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Self-Supervised Pre-Training for 3-D Roof Reconstruction on LiDAR Data

Published:2024 Issue: Volume:21 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Yang Hongxin¹^ORCID,Huang Shangfeng¹^ORCID,Wang Ruisheng¹^ORCID,Wang Xin¹

Affiliation:

1. Department of Geomatics Engineering, University of Calgary, Calgary, Canada

Funder

Eyes High Doctoral Recruitment Scholarship, generously offered by the University of Calgary, Canada

National Science Foundation of China

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8859/10365397/10423095.pdf?arnumber=10423095

Reference27 articles.

1. Robust Reconstruction of Building Facades for Large Areas Using Spaceborne TomoSAR Point Clouds

2. Topologically Aware Building Rooftop Reconstruction From Airborne Laser Scanning Point Clouds

3. Extracting 3-D Structural Lines of Building From ALS Point Clouds Using Graph Neural Network Embedded With Corner Information

4. Point2Roof: End-to-end 3D building roof modeling from airborne LiDAR point clouds

5. Self-Supervised Learning for Seismic Image Segmentation From Few-Labeled Samples

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