Do We Need Learnable Classifiers? A Hyperspectral Image Classification Algorithm Based on Attention-Enhanced ResBlock-in-ResBlock and ETF Classifier.
Chuan FuBo DuLiangpei ZhangPublished in: IEEE Trans. Geosci. Remote. Sens. (2024)
Keyphrases
- classification algorithm
- hyperspectral images
- hyperspectral
- class labels
- learning algorithm
- naive bayes
- classification method
- knn
- hyperspectral image classification
- accurate classification
- support vector machine
- remote sensing
- hyperspectral imagery
- multi label classification
- k nearest neighbor
- training set
- input features
- training phase
- concept drift
- classifier ensemble
- decision trees
- clustering algorithm
- training data
- active learning
- multispectral
- target detection
- training samples
- visual attention
- support vector
- change detection
- text categorization
- infrared
- svm classifier
- data mining
- bayesian classifier
- dimensionality reduction
- nearest neighbor
- image data
- high dimensional
- discriminant functions
- data streams