Supervised Feature Extraction of Hyperspectral Images Using Partitioned Maximum Margin Criterion.
Aloke DattaSusmita GhoshAshish GhoshPublished in: IEEE Geosci. Remote. Sens. Lett. (2017)
Keyphrases
- hyperspectral images
- maximum margin criterion
- feature extraction
- principal component analysis
- multiple kernel
- subspace learning
- hyperspectral
- hyperspectral data
- dimensionality reduction
- remote sensing
- feature selection
- face recognition
- manifold learning
- image processing
- feature space
- multispectral
- dimension reduction
- feature vectors
- support vector machine svm
- feature set
- target detection
- image classification
- supervised learning
- semi supervised
- support vector machine
- learning algorithm
- linear combination
- unsupervised learning
- data sets
- pattern recognition
- infrared
- kernel methods
- linear discriminant analysis
- mutual information
- image retrieval
- computer vision