Enhancing Remote Sensing Image Super-Resolution with Efficient Hybrid Conditional Diffusion Model

Enhancing Remote Sensing Image Super-Resolution with Efficient Hybrid Conditional Diffusion Model

Recently, optical remote-sensing images have been widely applied in fields such as environmental monitoring and land cover classification. However, due to limitations in imaging equipment and other factors, low-resolution images that are unfavorable for image analysis are often obtained. Although ex...

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Bibliographic Details
Main Authors: Lintao Han, Yuchen Zhao, Hengyi Lv, Yisa Zhang, Hailong Liu, Guoling Bi, Qing Han
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Remote Sensing
Subjects:
remote sensing
image super-resolution
neural network
diffusion model
transformer
feature extraction
Online Access:https://www.mdpi.com/2072-4292/15/13/3452

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