421 citations · 2.4k across the 51 of their papers we have counts for
52 papers
Tuning-free Plug-and-Play Hyperspectral Image Deconvolution with Deep Priors
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. This issue is usually add…
Deep Hyperspectral and Multispectral Image Fusion with Inter-image Variability
Xiuheng Wang, Ricardo Augusto Borsoi, Cédric Richard +1
Hyperspectral and multispectral image fusion allows us to overcome the hardware limitations of hyperspectral imaging systems inherent to their lower spatial resolution. Nevertheles…
Adaptive Random Fourier Features Kernel LMS
Wei Gao, Jie Chen, Cédric Richard +2
We propose the adaptive random Fourier features Gaussian kernel LMS (ARFF-GKLMS). Like most kernel adaptive filters based on stochastic gradient descent, this algorithm uses a pres…
Integration of Physics-Based and Data-Driven Models for Hyperspectral Image Unmixing
Jie Chen, Min Zhao, Xiuheng Wang +2
Spectral unmixing is one of the most important quantitative analysis tasks in hyperspectral data processing. Conventional physics-based models are characterized by clear interpreta…
Hyperspectral Image Super-resolution with Deep Priors and Degradation Model Inversion
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 attr…
Transient Performance Analysis of the -RLS
Wei Gao, Jie Chen, Cédric Richard +2
The recursive least-squares algorithm with -norm regularization (-RLS) exhibits excellent performance in terms of convergence rate and steady-state error in identif…