Kernel Entropy Component Analysis-Based Robust Hyperspectral Image Supervised Classification.
Bing TuChengle ZhouJin PengWei HeXianfeng OuZhi XuPublished in: Remote. Sens. (2019)
Keyphrases
- component analysis
- supervised classification
- hyperspectral images
- subspace projection
- factor analysis
- hyperspectral
- supervised learning
- blind source separation
- unsupervised learning
- hyperspectral imagery
- remote sensing
- machine learning
- remotely sensed images
- support vector
- hyperspectral data
- data sets
- infrared
- non stationary
- mutual information
- image registration
- feature space
- data analysis
- training data
- feature selection