359 citations · 669 across the 4 of their papers we have counts for
4 papers
FastHyMix: Fast and Parameter-free Hyperspectral Image Mixed Noise Removal
Lina Zhuang, Michael K. Ng
Hyperspectral imaging with high spectral resolution plays an important role in finding objects, identifying materials, or detecting processes. The decrease of the widths of spectra…
Using Low-rank Representation of Abundance Maps and Nonnegative Tensor Factorization for Hyperspectral Nonlinear Unmixing
Lianru Gao, Zhicheng Wang, Lina Zhuang +3
Tensor-based methods have been widely studied to attack inverse problems in hyperspectral imaging since a hyperspectral image (HSI) cube can be naturally represented as a third-ord…
Hyperspectral Image Denoising and Anomaly Detection Based on Low-rank and Sparse Representations
Lina Zhuang, Lianru Gao, Bing Zhang +2
Hyperspectral imaging measures the amount of electromagnetic energy across the instantaneous field of view at a very high resolution in hundreds or thousands of spectral channels.…
Fast Hyperspectral Image Denoising and Inpainting Based on Low-Rank and Sparse Representations
Lina Zhuang, Jose M. Bioucas-Dias
This paper introduces two very fast and competitive hyperspectral image (HSI) restoration algorithms: fast hyperspectral denoising (FastHyDe), a denoising algorithm able to cope wi…