94 citations · 241 across the 17 of their papers we have counts for
4 papers · 1 filter
Hyperspectral Image Denoising via Spatial-Spectral Recurrent Transformer
Guanyiman Fu, Fengchao Xiong, Jianfeng Lu +3
Hyperspectral images (HSIs) often suffer from noise arising from both intra-imaging mechanisms and environmental factors. Leveraging domain knowledge specific to HSIs, such as glob…
Learning Nonlocal Sparse and Low-Rank Models for Image Compressive Sensing
Zhiyuan Zha, Bihan Wen, Xin Yuan +3
The compressive sensing (CS) scheme exploits much fewer measurements than suggested by the Nyquist-Shannon sampling theorem to accurately reconstruct images, which has attracted co…
SMDS-Net: Model Guided Spectral-Spatial Network for Hyperspectral Image Denoising
Fengchao Xiong, Shuyin Tao, Jun Zhou +3
Deep learning (DL) based hyperspectral images (HSIs) denoising approaches directly learn the nonlinear mapping between observed noisy images and underlying clean images. They norma…
Hyperspectral Image Super-resolution via Deep Progressive Zero-centric Residual Learning
Zhiyu Zhu, Junhui Hou, Jie Chen +2
This paper explores the problem of hyperspectral image (HSI) super-resolution that merges a low resolution HSI (LR-HSI) and a high resolution multispectral image (HR-MSI). The cros…