Hyperspectral Image Denoising via Nonnegative Matrix Factorization and Convolutional Neural Networks.
Baihong LinXiaoming TaoXiaowei QinYiping DuanJianhua LuPublished in: IGARSS (2018)
Keyphrases
- hyperspectral
- image denoising
- nonnegative matrix factorization
- convolutional neural networks
- remote sensing
- denoising
- natural images
- multispectral
- infrared
- image processing
- negative matrix factorization
- matrix factorization
- total variation
- image data
- least squares
- wavelet domain
- information content
- original data
- spectral clustering
- principal component analysis
- document clustering
- wavelet coefficients
- objective function
- computer vision
- raw data
- object recognition
- high resolution
- image features
- sar images
- text classification
- multiscale
- augmented lagrangian