Feature Dimensionality Reduction With L2,p-Norm-Based Robust Embedding Regression for Classification of Hyperspectral Images.
Yang-Jun DengMeng-Long YangHeng-Chao LiChen-Feng LongKui FangQian DuPublished in: IEEE Trans. Geosci. Remote. Sens. (2024)
Keyphrases
- hyperspectral images
- dimensionality reduction
- hyperspectral data
- hyperspectral
- locality preserving projections
- feature extraction
- hyperspectral image classification
- feature vectors
- high dimensionality
- hyperspectral imagery
- remote sensing
- nonlinear dimensionality reduction
- feature space
- support vector
- pattern recognition
- random projections
- feature set
- spectral bands
- graph embedding
- principal components
- target detection
- multispectral
- low dimensional
- multispectral images
- remote sensing images
- dimensionality reduction methods
- computer vision
- pixel classification
- dimension reduction
- high quality
- face recognition
- feature selection