A Kernel ELM Classifier for High-Resolution Remotely Sensed Imagery Based on Multiple Features.
Wei YaoZhigang ZengCheng LianHuiming TangPublished in: ISNN (2014)
Keyphrases
- multiple features
- remotely sensed imagery
- feature space
- high resolution
- remote sensing
- satellite images
- feature set
- high spatial resolution
- single feature
- kernel function
- class labels
- support vector
- change detection
- multispectral
- feature vectors
- feature selection
- feature extraction
- multiple instance learning
- kernel methods
- data fusion
- training data
- spatial resolution
- data points
- training set
- support vector machine
- hyperspectral
- geographical information systems
- metric learning
- image processing
- visual information
- dimensionality reduction
- combining multiple
- pattern recognition
- high quality
- incremental learning
- image fusion
- information retrieval
- relevance feedback
- image data
- classification accuracy
- image analysis
- image retrieval
- image segmentation
- decision trees
- computer vision