Rolling Guidance Recursive Filtering-based Multiple Kernel Learning for Hyperspectral Image Classification.
Binge CuiLiwei ZhongXiujuan TianPublished in: IGARSS (2019)
Keyphrases
- multiple kernel learning
- recursive filtering
- hyperspectral image classification
- active learning
- edge detection
- kalman filtering
- hyperspectral
- hyperspectral images
- linear combination
- filtering method
- semi supervised learning
- kernel methods
- feature selection
- kernel function
- learning problems
- multiscale
- multi task
- data sets
- kalman filter
- labeled data
- image analysis
- infrared
- learning algorithm
- reinforcement learning
- multiple features
- support vector machine
- machine learning
- decision trees
- feature extraction
- semi supervised
- support vectors
- data fusion
- learning models
- support vector
- learning tasks
- pairwise
- remote sensing