Hyperspectral Image Classification Algorithm Based on Principal Component Texture Feature Deep Learning.
Yifang XuPublished in: J. Medical Imaging Health Informatics (2020)
Keyphrases
- principal components
- classification algorithm
- deep learning
- texture features
- hyperspectral images
- feature set
- hyperspectral
- class labels
- principal component analysis
- feature vectors
- feature extraction
- support vector machine
- remote sensing
- k nearest neighbor
- unsupervised learning
- color features
- machine learning
- dimensionality reduction
- image features
- knn
- feature selection
- multispectral
- naive bayes
- gray level
- covariance matrix
- training set
- learning algorithm
- classification accuracy
- feature space
- pattern recognition
- infrared
- text categorization
- neural network