Semantic information guided diffusion posterior sampling for remote sensing image fusion

Semantic information guided diffusion posterior sampling for remote sensing image fusion

Abstract The task of image fusion for optical images and SAR images is to integrate valuable information from source images. Recently, owing to powerful generation, diffusion models, e.g., diffusion denoising probabilistic model and score-based diffusion model, are flourished in image processing, an...

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Bibliographic Details
Main Authors: Chenlin Zhang, Yajun Chang, Yuhang Wu, Yang Shui, Zelong Wang, Jubo Zhu
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Scientific Reports
Subjects:
Image fusion
SAR-BM3D
FLCNet
Variational inference
Diffusion model
Semantic information
Online Access:https://doi.org/10.1038/s41598-024-78778-5
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https://doi.org/10.1038/s41598-024-78778-5

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