Semi-FCMNet: Semi-Supervised Learning for Forest Cover Mapping from Satellite Imagery via Ensemble Self-Training and Perturbation.
Beiqi ChenLiangjing WangXijian FanWeihao BoXubing YangTardi TjahjadiPublished in: Remote. Sens. (2023)
Keyphrases
- semi supervised learning
- satellite imagery
- training data
- change detection
- remote sensing
- semi supervised
- co training
- unlabeled data
- satellite images
- labeled data
- semi supervised classification
- supervised learning
- unsupervised learning
- urban areas
- machine learning
- manifold regularization
- ensemble methods
- active learning
- neural network
- multispectral
- label propagation
- semi supervised learning algorithms
- image data
- image analysis
- training set
- data sets
- feature selection
- classifier ensemble
- abundant unlabeled data
- information extraction
- graph based semi supervised learning
- data mining
- learning algorithm
- high quality
- pairwise
- class labels