218 citations · 381 across the 17 of their papers we have counts for
18 papers
Dual Modality Prompted Diffusion Priors for Zero Shot Hyperspectral Pansharpening
Pengwei Xie, Fei Zhu, Jiajun Li +3
Hyperspectral pansharpening aims to reconstruct a high resolution hyperspectral (HRHS) image from a panchromatic (PAN) image and a low resolution hyperspectral (LRHS) image while p…
GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening
Fangyi Li, Xiaoyuan Yang, Yixiao Li +3
Pansharpening aims to generate high-resolution multispectral (HRMS) images by fusing low-resolution multispectral (LRMS) and panchromatic (PAN) observations. Most existing deep lea…
SoDa2: Single-Stage Open-Set Domain Adaptation via Decoupled Alignment for Cross-Scene Hyperspectral Image Classification
Yiwen Liu, Minghua Wang, Jing Yao +2
Cross-scene hyperspectral image (HSI) classification stands as a fundamental research topic in remote sensing, with extensive applications spanning various fields. Owing to the inc…
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…
Fast Model-guided Instance-wise Adaptation Framework for Real-world Pansharpening with Fidelity Constraints
Zhiqi Yang, Jin-Liang Xiao, Shan Yin +2
Pansharpening aims to generate high-resolution multispectral (HRMS) images by fusing low-resolution multispectral (LRMS) and high-resolution panchromatic (PAN) images while preserv…
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…