Similarity-Based Multiple Kernel Learning Algorithms for Classification of Remotely Sensed Images.
Saeid NiazmardiAbdolreza SafariSaeid HomayouniPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2017)
Keyphrases
- remotely sensed images
- multiple kernel
- learning algorithm
- supervised classification
- machine learning algorithms
- supervised learning
- classification accuracy
- machine learning
- support vector machine
- feature extraction
- change detection
- pattern recognition
- training data
- multiple kernel learning
- remote sensing images
- classification models
- class labels
- support vector
- land cover
- learning problems
- remote sensing
- decision trees
- training samples
- linear combination
- reinforcement learning
- support vector machine svm
- image analysis
- learning tasks
- data sets
- computer vision
- feature vectors
- feature selection
- similarity measure
- multi class
- kernel methods
- model selection
- multispectral
- unsupervised learning
- kernel function