A comparative study on Multiple Kernel Learning for remote sensing image classification.
Saeid NiazmardiBegüm DemirLorenzo BruzzoneAbdolreza SafariSaeid HomayouniPublished in: IGARSS (2016)
Keyphrases
- multiple kernel learning
- remote sensing
- image classification
- remotely sensed data
- spatial pyramid
- change detection
- multispectral
- image analysis
- multi label
- linear combination
- feature extraction
- remote sensing data
- image processing
- bag of words
- binary classification
- kernel methods
- semi supervised learning
- hyperspectral
- image representation
- remote sensing images
- satellite images
- visual features
- land cover
- learning problems
- image features
- high resolution
- remotely sensed
- svm classifier
- satellite data
- visual words
- multi task
- kernel function
- feature selection
- earth observation
- multiple features
- support vectors
- machine learning
- hyperspectral images
- multi class
- object recognition
- data mining