A split Bregman method for non-negative sparsity penalized least squares with applications to hyperspectral demixing.
Arthur SzlamZhaohui GuoStanley J. OsherPublished in: ICIP (2010)
Keyphrases
- least squares
- hyperspectral
- split bregman method
- remote sensing
- multispectral
- hyperspectral images
- infrared
- hyperspectral imagery
- hyperspectral data
- target detection
- image data
- total variation
- active contour model
- spectral bands
- hyperspectral image classification
- hyperspectral imaging
- hyperspectral remote sensing
- spatial resolution
- pixel classification
- information content
- satellite images
- spectral data
- sparse representation
- optical flow
- high dimensional
- ls svm
- image processing
- image restoration
- image quality
- high resolution
- reflectance spectra
- change detection
- segmentation method
- image analysis
- high quality