A novel Bayesian lasso model based on spatial-correlated sparsity for semisupervised hyperspectral unmixing.
Huiyun JiaoRisheng HuangXiaorun LiLiaoying ZhaoPublished in: IGARSS (2017)
Keyphrases
- hyperspectral
- hyperspectral images
- hyperspectral data
- remote sensing
- remote sensing data
- spectral signatures
- sparse representation
- infrared
- multispectral
- semi supervised
- hyperspectral imagery
- image data
- pixel classification
- hyperspectral image classification
- hyperspectral remote sensing
- spatial resolution
- target detection
- spatial information
- hyperspectral imaging
- satellite images
- spectral bands
- group lasso
- information content
- variable selection
- change detection
- high quality
- reflectance spectra
- image registration
- spectral data
- image classification
- sample size
- random projections
- remote sensing images