A novel semisupervised transductive SVM with spatial similarity for classification of hyperspectral data.
Lian-Zhi HuoLi-Jun ZhaoPing TangPublished in: WHISPERS (2014)
Keyphrases
- hyperspectral data
- semi supervised
- transductive svm
- hyperspectral
- hyperspectral images
- hyperspectral imagery
- transductive inference
- pattern recognition
- multispectral
- remote sensing
- random projections
- machine learning
- principal components
- image classification
- feature extraction
- similarity measure
- semi supervised learning
- infrared
- support vector machine
- image data
- classification accuracy
- principal component analysis
- feature vectors
- support vector
- data sets
- decision trees
- labeled and unlabeled data
- training set
- svm classifier
- training samples
- unlabeled data
- unsupervised learning