NMF-SAE: An Interpretable Sparse Autoencoder for Hyperspectral Unmixing.
Fengchao XiongJun ZhouMinchao YeJianfeng LuYuntao QianPublished in: ICASSP (2021)
Keyphrases
- hyperspectral
- negative matrix factorization
- hyperspectral images
- hyperspectral data
- remote sensing
- nonnegative matrix factorization
- infrared
- multispectral
- sparse representation
- hyperspectral imagery
- target detection
- image data
- random projections
- hyperspectral imaging
- hyperspectral image classification
- spectral signatures
- multi band
- hyperspectral remote sensing
- spatial resolution
- pixel classification
- spectral bands
- remote sensing images
- satellite images
- information content
- document clustering
- spectral data
- high dimensional
- matrix factorization
- neural network
- change detection
- active learning
- high resolution
- reflectance spectra
- machine learning