Compound 3D building modeling with structure-aware partition and primitive assembly from airborne laser scanning point clouds

Author:

Zang Yufu12,Mi Wenhan1,Xiao Xiongwu3ORCID,Guan Haiyan1,Chen Jike1,Li Deren3ORCID

Affiliation:

1. School of Remote Sensing & Geomatics Engineering, Nanjing University of Information Science & Technology, Nanjing, People’s Republic of China

2. Technology Innovation Center for Integration Applications in Remote Sensing and Navigation, Ministry of Natural Resources, Nanjing, People’s Republic of China

3. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, People’s Republic of China

Funder

the National Natural Science Foundation of China

Nos Natural Science Foundation of

Hubei Province

National Key Research and Development Program of China

Science and Technology Program of Southwest China Research Institute of Electronic Equipment

Chutian Scholar Program of Hubei Province

Publisher

Informa UK Limited

Reference52 articles.

1. Anand, B., V. Barsaiyan, M. Senapati, and P. Rajalakshmi. 2019. “Real Time LiDAR Point Cloud Compression and Transmission for Intelligent Transportation System.” IEEE 89th Vehicular Technology Conference (VTC2019-Spring). IEEE, 1–5.

2. An Effective Data-Driven Method for 3-D Building Roof Reconstruction and Robust Change Detection

3. CITY RECONSTRUCTION FROM AIRBORNE LIDAR: A COMPUTATIONAL GEOMETRY APPROACH

4. Multi-Task cGAN for Simultaneous Spaceborne DSM Refinement and Roof-Type Classification

5. Semi-Automatic 3D City Model Generation from Large-Format Aerial Images

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