Class-Specific Autoaugment Architecture Based on Schmidt Mathematical Theory for Imbalanced Hyperspectral Classification.
Jiaojiao LiYan DiaoRui SongBobo XiYunsong LiQian DuPublished in: IEEE Trans. Geosci. Remote. Sens. (2023)
Keyphrases
- class specific
- hyperspectral
- hyperspectral data
- hyperspectral images
- mathematical theory
- image classification
- remote sensing
- hyperspectral imagery
- infrared
- dictionary learning
- image data
- superpixels
- classification accuracy
- object class
- multispectral
- pattern recognition
- feature space
- general theory
- feature extraction
- object classes
- satellite images
- feature vectors
- text classification
- image analysis
- support vector machine
- image content
- data sets
- multiple features
- support vector
- dimensionality reduction
- feature selection
- learning algorithm
- machine learning