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

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

The LiDAR and photogrammetric point clouds fusion procedure for building extraction according to U-Net deep learning model segmentation is provided and tested. Firstly, an initial geo-localization process is performed for photogrammetric point clouds generated using structure-from-motion and dense-m...

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Bibliographic Details
Main Authors: Pengcheng Zhang, Huagui He, Yun Wang, Yang Liu, Hong Lin, Liang Guo, Weijun Yang
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Building extraction
point clouds
U-Net
deep learning
segmentation
difference of normals
Online Access:https://ieeexplore.ieee.org/document/9716925/

Internet

https://ieeexplore.ieee.org/document/9716925/

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