Anisotropic spectral-spatial total variation model for multispectral remote sensing image destri**
Multispectral remote sensing images often suffer from the common problem of stripe noise,
which greatly degrades the imaging quality and limits the precision of the subsequent …
which greatly degrades the imaging quality and limits the precision of the subsequent …
l₀-l₁ Hybrid Total Variation Regularization and its Applications on Hyperspectral Image Mixed Noise Removal and Compressed Sensing
M Wang, Q Wang, J Chanussot… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The total variation (TV) regularization has been widely used in various applications related
to hyperspectral (HS) signal and image processing due to its potential in modeling the …
to hyperspectral (HS) signal and image processing due to its potential in modeling the …
Joint analysis and weighted synthesis sparsity priors for simultaneous denoising and destri** optical remote sensing images
Z Huang, Y Zhang, Q Li, X Li, T Zhang… - … on Geoscience and …, 2020 - ieeexplore.ieee.org
Stripe and random noise are two different degradation phenomena that commonly coexist in
optical remote sensing images, and they are often modeled as inverse problems. In model …
optical remote sensing images, and they are often modeled as inverse problems. In model …