A surface graph based deep learning framework for large-scale urban mesh semantic segmentation

Author:

Yang Yetao,Tang Rongkui,Xia Mengjiao,Zhang Chen

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference52 articles.

1. Point Cloud Voxel Classification of Aerial Urban LiDAR Using Voxel Attributes and Random Forest Approach;Aljumaily;Int. J. Appl. Earth Obs. Geoinf.,2023

2. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation;Badrinarayanan;IEEE Trans. Pattern Anal. Mach. Intell.,2017

3. SnapNet: 3D Point Cloud Semantic Labeling with 2D Deep Segmentation Networks;Boulch;Comput. Graph.,2018

4. A Self-Attention Based Global Feature Enhancing Network for Semantic Segmentation of Large-Scale Urban Street-Level Point Clouds;Chen;Int. J. Appl. Earth Obs. Geoinf.,2022

5. GVCNN: Group-View Convolutional Neural Networks for 3D Shape Recognition;Feng;IEEE Conf. Comput. Vis. Pattern Recognit.,2018

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