An Unsupervised Feature Extraction Using Endmember Extraction and Clustering Algorithms for Dimension Reduction of Hyperspectral Images.
Sayyed Hamed Alizadeh MoghaddamSaeed GazorFahime KaramiMeisam AmaniShuanggen JinPublished in: Remote. Sens. (2023)
Keyphrases
- dimension reduction
- hyperspectral images
- feature extraction
- clustering algorithm
- cluster analysis
- unsupervised learning
- hyperspectral
- hyperspectral imagery
- hyperspectral data
- random projections
- data clustering
- principal component analysis
- remote sensing
- feature selection
- linear discriminant analysis
- low dimensional
- multispectral
- dimensionality reduction
- manifold learning
- high dimensional data
- supervised learning
- singular value decomposition
- preprocessing
- feature space
- high dimensional
- partial least squares
- k means
- pattern recognition
- target detection
- principle component analysis
- image processing
- feature vectors
- discriminant analysis
- high dimensionality
- face recognition
- document clustering
- support vector machine svm
- high resolution