Feature selection using Kernel based Local Fisher Discriminant Analysis for hyperspectral image classification.
Guangyun ZhangXiuping JiaPublished in: IGARSS (2011)
Keyphrases
- hyperspectral image classification
- feature selection
- active learning
- hyperspectral
- support vector
- hyperspectral images
- support vector machine
- classification accuracy
- dimensionality reduction
- multiple kernel learning
- feature set
- kernel methods
- machine learning
- kernel trick
- mutual information
- infrared
- feature space
- model selection
- high dimensionality
- training set
- feature extraction
- data streams
- multi task
- dimension reduction
- knn
- remote sensing
- kernel function
- data sets
- color images