SSGAM-Net: A Hybrid Semi-Supervised and Supervised Network for Robust Semantic Segmentation Based on Drone LiDAR Data

SSGAM-Net: A Hybrid Semi-Supervised and Supervised Network for Robust Semantic Segmentation Based on Drone LiDAR Data

The semantic segmentation of drone LiDAR data is important in intelligent industrial operation and maintenance. However, current methods are not effective in directly processing airborne true-color point clouds that contain geometric and color noise. To overcome this challenge, we propose a novel hy...

Full description

Bibliographic Details
Main Authors: Hua Wu, Zhe Huang, Wanhao Zheng, Xiaojing Bai, Li Sun, Mengyang Pu
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Remote Sensing
Subjects:
semantic segmentation
hybrid learning
global contextual relationships
deep learning
drone LiDAR data
Online Access:https://www.mdpi.com/2072-4292/16/1/92

Internet

https://www.mdpi.com/2072-4292/16/1/92

Similar Items