A Collaborative Superpixelwise Autoencoder for Unsupervised Dimension Reduction in Hyperspectral Images.
Chao YaoLingfeng ZhengLongchao FengFan YangZehua GuoMiao MaPublished in: Remote. Sens. (2023)
Keyphrases
- dimension reduction
- hyperspectral images
- unsupervised learning
- hyperspectral
- hyperspectral imagery
- principal component analysis
- hyperspectral data
- random projections
- feature extraction
- remote sensing
- multispectral
- high dimensional
- feature selection
- singular value decomposition
- linear discriminant analysis
- high dimensionality
- cluster analysis
- high dimensional data
- low dimensional
- supervised learning
- semi supervised
- dimensionality reduction
- feature space
- manifold learning
- partial least squares
- data mining
- principle component analysis
- preprocessing
- feature vectors
- image analysis
- nearest neighbor
- multispectral images
- pattern recognition
- data sets
- target detection
- infrared
- machine learning
- text classification