1 code implementation • 28 Nov 2022 • Xiuheng Wang, Jie Chen, Cédric Richard
Deconvolution is a widely used strategy to mitigate the blurring and noisy degradation of hyperspectral images~(HSI) generated by the acquisition devices.
1 code implementation • 24 Aug 2022 • Xiuheng Wang, Ricardo Augusto Borsoi, Cédric Richard, Jie Chen
The fusion problem is stated as an optimization problem in the maximum a posteriori framework.
1 code implementation • 11 Jun 2022 • Jie Chen, Min Zhao, Xiuheng Wang, Cédric Richard, Susanto Rahardja
Spectral unmixing is one of the most important quantitative analysis tasks in hyperspectral data processing.
1 code implementation • 24 Jan 2022 • Xiuheng Wang, Jie Chen, Cédric Richard
To overcome inherent hardware limitations of hyperspectral imaging systems with respect to their spatial resolution, fusion-based hyperspectral image (HSI) super-resolution is attracting increasing attention.
1 code implementation • 24 Dec 2020 • Min Zhao, Xiuheng Wang, Jie Chen, Wei Chen
Spectral unmixing is a widely used technique in hyperspectral image processing and analysis.
1 code implementation • 9 Sep 2020 • Xiuheng Wang, Jie Chen, Qi Wei, Cédric Richard
Furthermore, the regularization parameter is simultaneously estimated to automatically adjust contribution of the physical model and {the} learned prior to reconstruct the final HR HSI.