Multichannel semi-supervised active learning for PolSAR image classification.
Wenqiang HuaYurong ZhangHongying LiuWen XieXiaomin JinPublished in: Int. J. Appl. Earth Obs. Geoinformation (2024)
Keyphrases
- semi supervised
- image classification
- active learning
- semi supervised learning
- labeled data
- unlabeled data
- supervised learning
- learning algorithm
- unsupervised learning
- bag of words
- feature extraction
- labeled examples
- image representation
- image features
- machine learning
- sparse representation
- visual words
- multi view
- semi supervised clustering
- multi label
- relevance feedback
- training examples
- label propagation
- pool based active learning
- cross channel
- selective sampling
- semi supervised classification
- labeled and unlabeled data
- random sampling
- multi channel
- learning strategies
- learning process
- sparse coding
- data sets
- single channel
- training set
- unlabeled instances
- metric learning
- experimental design
- class specific
- pairwise constraints
- transfer learning
- computer vision
- cost sensitive
- learning environment
- batch mode
- fully supervised
- pairwise