Geodesic Flow Kernel Support Vector Machine for Hyperspectral Image Classification by Unsupervised Subspace Feature Transfer.
Alim SamatPaolo GambaJilili AbuduwailiSicong LiuZelang MiaoPublished in: Remote. Sens. (2016)
Keyphrases
- support vector machine
- feature space
- hyperspectral image classification
- kernel function
- feature vectors
- kernel methods
- svm classification
- support vector
- kernel based nonlinear
- active learning
- kernel pca
- curvature flow
- principal component analysis
- high dimensional data
- feature set
- hyperspectral
- support vector machine svm
- image features
- feature selection
- unsupervised learning
- semi supervised
- dimensionality reduction
- svm classifier
- dimension reduction
- input space
- hyperplane
- low dimensional
- principal components analysis
- subspace methods
- training data
- similarity measure
- nonlinear kernel
- change detection
- support vectors
- pattern recognition
- image processing
- machine learning