Multiscale 2-D Singular Spectrum Analysis and Principal Component Analysis for Spatial-Spectral Noise-Robust Feature Extraction and Classification of Hyperspectral Images.
Ping MaJinchang RenHuimin ZhaoGenyun SunPaul MurrayJiangbin ZhengPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2021)
Keyphrases
- hyperspectral images
- feature extraction and classification
- multiscale
- hyperspectral
- singular spectrum analysis
- principal component analysis
- hyperspectral imagery
- hyperspectral data
- remote sensing
- feature extraction
- complex valued
- spectral bands
- multispectral
- multispectral images
- change point detection
- principal components
- pattern recognition
- image processing
- support vector regression
- random projections
- infrared
- dimensionality reduction
- texture classification
- information content
- neural network
- independent component analysis
- edge detection
- image data
- computer vision