5 papers
Robust Principal Component Completion
Yinjian Wang, Wei Li, Yuanyuan Gui +2
Robust principal component analysis (RPCA) seeks a low-rank component and a sparse component from their summation. Yet, in many applications of interest, the sparse foreground actu…
Compact Multi-level-prior Tensor Representation for Hyperspectral Image Super-resolution
Yinjian Wang, Wei Li, Yuanyuan Gui +1
Fusing a hyperspectral image with a multispectral image acquired over the same scene, \textit{i.e.}, hyperspectral image super-resolution, has become a popular computational way to…
Multi-modal Uncertainty Robust Tree Cover Segmentation For High-Resolution Remote Sensing Images
Yuanyuan Gui, Wei Li, Yinjian Wang +4
Recent advances in semantic segmentation of multi-modal remote sensing images have significantly improved the accuracy of tree cover mapping, supporting applications in urban plann…
A Generalized Tensor Formulation for Hyperspectral Image Super-Resolution Under General Spatial Blurring
Yinjian Wang, Wei Li, Yuanyuan Gui +2
Hyperspectral super-resolution is commonly accomplished by the fusing of a hyperspectral imaging of low spatial resolution with a multispectral image of high spatial resolution, an…
A Survey on Hyperspectral Image Restoration: From the View of Low-Rank Tensor Approximation
Na Liu, Wei Li, Yinjian Wang +3
The ability of capturing fine spectral discriminative information enables hyperspectral images (HSIs) to observe, detect and identify objects with subtle spectral discrepancy. Howe…