SVDD-based one-class land-cover mapping using optimal training samples.
Muyi LiXiufang ZhuJianyu GuGuanyuan ShuaiAnzhou ZhaoTong ZhouYaozhong PanPublished in: IGARSS (2014)
Keyphrases
- training samples
- land cover
- supervised learning
- learning algorithm
- test sample
- multispectral
- feature space
- remote sensing
- remote sensing images
- training set
- number of training samples
- high dimensional
- training data
- decision boundary
- face images
- satellite images
- hyperplane
- change detection
- support vectors
- sample set
- image analysis
- image processing
- active learning
- face recognition
- urban areas
- supervised classification
- video sequences
- class distribution
- geographic information systems
- base classifiers
- object recognition
- kernel function
- image classification