Sparse Representation-Based Augmented Multinomial Logistic Extreme Learning Machine With Weighted Composite Features for Spectral-Spatial Classification of Hyperspectral Images.
Faxian CaoZhijing YangJinchang RenWing-Kuen LingHuimin ZhaoMeijun SunJón Atli BenediktssonPublished in: IEEE Trans. Geosci. Remote. Sens. (2018)
Keyphrases
- hyperspectral images
- spectral features
- hyperspectral data
- hyperspectral
- hyperspectral imagery
- spectral bands
- extreme learning machine
- feature vectors
- feature set
- classification accuracy
- multispectral
- spatial information
- feature extraction
- multispectral images
- classification algorithm
- feature space
- remote sensing
- sparse representation
- information content
- pattern recognition
- training set
- feedforward neural networks
- decision trees
- probabilistic model
- feed forward neural networks
- co occurrence
- text classification
- random projections
- target detection
- remote sensing images
- naive bayes
- infrared