GEOP-Net: Shape Reconstruction of Buildings From LiDAR Point Clouds-Reference-Cited by-同舟云学术

GEOP-Net: Shape Reconstruction of Buildings From LiDAR Point Clouds

Published:2023 Issue: Volume:20 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Yan Yiming¹^ORCID,Wang Zilu¹,Xu Congan²^ORCID,Su Nan¹^ORCID

Affiliation:

1. Key Laboratory of Advanced Marine Communication and Information Technology, Ministry of Industry and Information Technology and the College of Information and Communication Engineering, Harbin Engineering University, Harbin, China

2. Advanced Technology Research Institute, Beijing Institute of Technology, Jinan, China

Funder

National Natural Science Foundation of China

Heilongjiang Outstanding Youth Foundation

Young Elite Scientists Sponsorship Program by CAST

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/10034981/10128978.pdf?arnumber=10128978

Reference25 articles.

1. Points2Surf Learning Implicit Surfaces from Point Clouds

2. Shape Reconstruction of Object-Level Building From Single Image Based on Implicit Representation Network

3. Convolutional Occupancy Networks

4. Occupancy Networks: Learning 3D Reconstruction in Function Space

5. Urban Building Mesh Polygonization Based on Plane-Guided Segmentation, Topology Correction and Corner Point Clump Optimization

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