116 citations · 159 across the 8 of their papers we have counts for
8 papers
Self-Learning Hyperspectral and Multispectral Image Fusion via Adaptive Residual Guided Subspace Diffusion Model
Jian Zhu, He Wang, Yang Xu +2
Hyperspectral and multispectral image (HSI-MSI) fusion involves combining a low-resolution hyperspectral image (LR-HSI) with a high-resolution multispectral image (HR-MSI) to gener…
Unsupervised Hyperspectral and Multispectral Image Blind Fusion Based on Deep Tucker Decomposition Network with Spatial-Spectral Manifold Learning
He Wang, Yang Xu, Zebin Wu +1
Hyperspectral and multispectral image fusion aims to generate high spectral and spatial resolution hyperspectral images (HR-HSI) by fusing high-resolution multispectral images (HR-…
A Spectral Diffusion Prior for Hyperspectral Image Super-Resolution
Jianjun Liu, Zebin Wu, Liang Xiao
Fusion-based hyperspectral image (HSI) super-resolution aims to produce a high-spatial-resolution HSI by fusing a low-spatial-resolution HSI and a high-spatial-resolution multispec…
Explicit Change Relation Learning for Change Detection in VHR Remote Sensing Images
Dalong Zheng, Zebin Wu, Jia Liu +2
Change detection has always been a concerned task in the interpretation of remote sensing images. It is essentially a unique binary classification task with two inputs, and there i…
SwinV2DNet: Pyramid and Self-Supervision Compounded Feature Learning for Remote Sensing Images Change Detection
Dalong Zheng, Zebin Wu, Jia Liu +1
Among the current mainstream change detection networks, transformer is deficient in the ability to capture accurate low-level details, while convolutional neural network (CNN) is w…
ReAFFPN: Rotation-equivariant Attention Feature Fusion Pyramid Networks for Aerial Object Detection
Chongyu Sun, Yang Xu, Zebin Wu +1
This paper proposes a Rotation-equivariant Attention Feature Fusion Pyramid Networks for Aerial Object Detection named ReAFFPN. ReAFFPN aims at improving the effect of rotation-equ…
High-Order Coupled Fully-Connected Tensor Network Decomposition for Hyperspectral Image Super-Resolution
Diyi Jin, Jianjun Liu, Jinlong Yang +1
Hyperspectral image super-resolution addresses the problem of fusing a low-resolution hyperspectral image (LR-HSI) and a high-resolution multispectral image (HR-MSI) to produce a h…
Model Inspired Autoencoder for Unsupervised Hyperspectral Image Super-Resolution
Jianjun Liu, Zebin Wu, Liang Xiao +1
This paper focuses on hyperspectral image (HSI) super-resolution that aims to fuse a low-spatial-resolution HSI and a high-spatial-resolution multispectral image to form a high-spa…