Classification of hyperspectral imagery using a fully complex-valued wavelet neural network with deep convolutional features.
Musa PekerPublished in: Expert Syst. Appl. (2021)
Keyphrases
- complex valued
- hyperspectral imagery
- wavelet neural network
- classification accuracy
- feature set
- feature extraction
- feature vectors
- activation function
- feature space
- real valued
- support vector
- hyperspectral images
- class labels
- decision trees
- pattern recognition
- feature selection
- neural network
- learning rate
- recurrent neural networks
- machine learning
- multiresolution
- classification algorithm
- dimensionality reduction
- supervised learning
- wavelet analysis
- high dimensional
- training set
- training data