SSGAM-Net: A Hybrid Semi-Supervised and Supervised Network for Robust Semantic Segmentation Based on Drone LiDAR Data.
Hua WuZhe HuangWanhao ZhengXiaojing BaiLi SunMengyang PuPublished in: Remote. Sens. (2024)
Keyphrases
- semi supervised
- semantic segmentation
- supervised methods
- weakly supervised
- lidar data
- label transfer
- labeled data
- pairwise
- unlabeled data
- scene classification
- active learning
- multi view
- conditional random fields
- supervised learning
- superpixels
- generative model
- image processing
- point cloud
- urban areas
- learning algorithm
- multiscale
- image data
- urban environments
- object class
- object classes
- machine learning
- image classification