3D Urban Buildings Extraction Based on Airborne LiDAR and Photogrammetric Point Cloud Fusion According to U-Net Deep Learning Model Segmentation-Reference-Cited by-同舟云学术

3D Urban Buildings Extraction Based on Airborne LiDAR and Photogrammetric Point Cloud Fusion According to U-Net Deep Learning Model Segmentation

Author:

Zhang Pengcheng¹,He Huagui¹^ORCID,Wang Yun²,Liu Yang¹^ORCID,Lin Hong¹,Guo Liang¹,Yang Weijun¹

Affiliation:

1. Guangzhou Urban Planning and Design Survey Research Institute, Guangzhou, China

2. College of Forestry, Beijing Forestry University, Beijing, China

Funder

Special Project for Research and Development in Key areas of Guangdong Province

Guangdong Enterprise Key Laboratory for Urban Sensing, Monitoring and Early Warning

Smart Guangzhou Spatiotemporal Information Cloud Platform Construction

Gao Fen Project of China

Construction of Public Service Platform: Building Information Modeling (BIM) and City Information Modeling (CIM)-Based Integrated Perspective

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

Reference39 articles.

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