An ICA based approach to hyperspectral image feature reduction.
Nicola FalcoLorenzo BruzzoneJón Atli BenediktssonPublished in: IGARSS (2014)
Keyphrases
- hyperspectral images
- feature reduction
- hyperspectral
- independent component analysis
- rough sets
- text categorization
- hyperspectral imaging
- principal component analysis
- remote sensing
- hyperspectral imagery
- random forest
- feature extraction
- reduction method
- feature set
- linear discriminant analysis
- multispectral
- texture segmentation
- face recognition
- support vector machine
- preprocessing
- knn
- feature selection
- target detection
- classification accuracy
- rough set theory
- k nearest neighbor
- text classification
- viterbi algorithm
- spectral signatures
- neural network
- active learning
- multi label
- classification algorithm
- labeled data
- dynamic programming
- hidden markov models
- multiresolution
- training data
- learning algorithm
- data sets