Hyperspectral Image Denoising Using Nonconvex Local Low-Rank and Sparse Separation With Spatial-Spectral Total Variation Regularization.
Chong PengYang LiuKehan KangYongyong ChenXinxing WuAndrew ChengZhao KangChenglizhao ChenQiang ChengPublished in: IEEE Trans. Geosci. Remote. Sens. (2022)
Keyphrases
- hyperspectral
- low rank and sparse
- total variation regularization
- spectral signatures
- convex optimization
- total variation
- hyperspectral images
- hyperspectral imagery
- remote sensing
- multispectral
- hyperspectral data
- image denoising
- denoising
- image data
- infrared
- low rank
- wavelet domain
- spectral resolution
- locally adaptive
- frequency domain
- image restoration
- image processing
- natural images
- pattern recognition
- object recognition
- similarity measure
- expectation maximization
- image quality
- singular value decomposition