Multiple Kernel Learning for Remote Sensing Image Classification.
Saeid NiazmardiBegüm DemirLorenzo BruzzoneAbdolreza SafariSaeid HomayouniPublished in: IEEE Trans. Geosci. Remote. Sens. (2018)
Keyphrases
- remote sensing
- multiple kernel learning
- image classification
- remotely sensed data
- spatial pyramid
- change detection
- linear combination
- multispectral
- bag of words
- hyperspectral
- kernel methods
- high resolution
- remote sensing data
- remote sensing images
- land cover
- satellite images
- image processing
- image representation
- semi supervised learning
- kernel function
- image features
- image analysis
- feature extraction
- visual features
- learning problems
- svm classifier
- satellite data
- multi task
- multi label
- binary classification
- visual words
- support vectors
- hyperspectral images
- remotely sensed
- earth observation
- multiple features
- learning models
- feature selection
- data mining
- dimensionality reduction
- multi class
- support vector machine
- support vector
- computer vision