FCSwinU: Fourier Convolutions and Swin Transformer UNet for Hyperspectral and Multispectral Image Fusion

FCSwinU: Fourier Convolutions and Swin Transformer UNet for Hyperspectral and Multispectral Image Fusion

The fusion of low-resolution hyperspectral images (LR-HSI) with high-resolution multispectral images (HR-MSI) provides a cost-effective approach to obtaining high-resolution hyperspectral images (HR-HSI). Existing methods primarily based on convolutional neural networks (CNNs) struggle to capture gl...

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Bibliographic Details
Main Authors: Rumei Li, Liyan Zhang, Zun Wang, Xiaojuan Li
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Sensors
Subjects:
hyperspectral image (HSI)
multispectral image (MSI)
image fusion
deep learning
Swin Transformer
Online Access:https://www.mdpi.com/1424-8220/24/21/7023
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https://www.mdpi.com/1424-8220/24/21/7023

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