Hyperspectral image classification using principle component analysis and deep convolutional neural network.
Sandhya ShindeHemant PatidarPublished in: J. Ambient Intell. Humaniz. Comput. (2023)
Keyphrases
- principle component analysis
- convolutional neural network
- hyperspectral image classification
- active learning
- face detection
- hyperspectral
- hyperspectral images
- face recognition
- independent component analysis
- dimension reduction
- svm classifier
- face databases
- feature extraction
- principal components
- neural network
- lower dimensional
- principal component analysis
- feature space
- detection method
- principal components analysis
- covariance matrix
- independent components
- machine learning
- remote sensing
- recognition rate
- multispectral
- infrared
- random projections
- dimensionality reduction
- training set
- similarity measure
- linear discriminant analysis
- singular value decomposition
- kernel pca
- nearest neighbor classifier
- pattern recognition
- high quality
- computer vision