Correntropy-Based Autoencoder-Like NMF With Total Variation for Hyperspectral Unmixing.
Xin-Ru FengHeng-Chao LiShuang LiuHongyan ZhangPublished in: IEEE Geosci. Remote. Sens. Lett. (2022)
Keyphrases
- total variation
- hyperspectral
- half quadratic
- nonnegative matrix factorization
- negative matrix factorization
- image restoration
- hyperspectral images
- remote sensing
- denoising
- image denoising
- hyperspectral data
- infrared
- multispectral
- convex optimization
- image processing
- hyperspectral imagery
- target detection
- information content
- image data
- matrix factorization
- spatial resolution
- document clustering
- noisy images
- sparse representation
- edge preserving
- least squares
- spectral clustering
- satellite images
- principal component analysis
- image analysis
- multiscale
- markov random field
- natural images
- original data
- computer vision