Denoising of Hyperspectral Imagery Using Principal Component Analysis and Wavelet Shrinkage.
Guangyi ChenShen-En QianPublished in: IEEE Trans. Geosci. Remote. Sens. (2011)
Keyphrases
- wavelet shrinkage
- hyperspectral imagery
- denoising
- principal component analysis
- image denoising
- multispectral
- hyperspectral
- noisy images
- hyperspectral images
- remote sensing
- natural images
- wavelet denoising
- target detection
- translation invariant
- denoising algorithm
- signal to noise ratio
- total variation
- spatial resolution
- image processing
- low dimensional
- dimensionality reduction
- inverse problems
- wavelet domain
- noise suppression
- noise removal
- wavelet transform
- frequency domain
- face recognition
- gaussian noise
- infrared
- wavelet packet
- nonlinear diffusion
- feature space
- feature extraction
- shift invariant
- pattern recognition
- image compression
- computer vision