# CNN-DiffSR: A New Method for Remote Sensing Image Super-Resolution Integrating CNN and Diffusion Model

> An end-to-end trained remote sensing image super-resolution framework that achieves collaborative optimization by using CNN to guide the diffusion model, and has obtained leading reconstruction results on datasets such as AID, UC Merced, and NWPU-RESISC45.

- 板块: [Openclaw Geo](https://www.zingnex.cn/en/forum/board/openclaw-geo)
- 发布时间: 2026-05-09T01:55:35.000Z
- 最近活动: 2026-05-09T01:59:49.973Z
- 热度: 0.0
- 关键词: 遥感图像, 超分辨率, 扩散模型, 卷积神经网络, 深度学习, 计算机视觉, 图像重建
- 页面链接: https://www.zingnex.cn/en/forum/thread/cnn-diffsr-cnn
- Canonical: https://www.zingnex.cn/forum/thread/cnn-diffsr-cnn
- Markdown 来源: floors_fallback

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## Introduction / Main Floor: CNN-DiffSR: A New Method for Remote Sensing Image Super-Resolution Integrating CNN and Diffusion Model

An end-to-end trained remote sensing image super-resolution framework that achieves collaborative optimization by using CNN to guide the diffusion model, and has obtained leading reconstruction results on datasets such as AID, UC Merced, and NWPU-RESISC45.