A Novel Information Theoretic Cost Measure for Filtering Based Feature Selection from Hyperspectral Images.
Vikas KooknaAnkit Kumar SinghAgastya RajBiplab BanerjeePublished in: CVIP (1) (2019)
Keyphrases
- information theoretic
- hyperspectral images
- mutual information
- information theory
- feature selection
- jensen shannon divergence
- information theoretic measures
- hyperspectral
- entropy measure
- kullback leibler divergence
- information content
- hyperspectral imagery
- similarity measure
- theoretic framework
- remote sensing
- relative entropy
- kl divergence
- hyperspectral data
- information bottleneck
- jensen shannon
- model selection
- distributional clustering
- image registration
- multispectral
- feature extraction
- shannon entropy
- support vector
- neural network
- target detection
- image classification
- distance measure
- feature set
- dimensionality reduction
- machine learning
- knn
- image segmentation
- feature space
- text categorization