Search research articles

关于 JoVE

概览领导团队博客 JoVE 帮助中心

作者

出版流程编辑委员会范围与政策同行评审常见问题投稿

图书馆员

用户评价订阅访问资源图书馆顾问委员会常见问题

研究

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments 存档

教育

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual 教师资源中心教师网站

使用条款与条件

相关概念视频

Assessment of Diffusion and Perfusion

Assessment of Diffusion and Perfusion

Understanding and evaluating diffusion and perfusion is critical in assessing a patient's respiratory and circulatory health. These processes play key roles in maintaining the body's internal environment, ensuring that tissues receive adequate oxygen while waste products are efficiently removed.
The Role of Diffusion in Respiration
Diffusion is the process by which molecules move from an area of higher concentration to an area of lower concentration. In the respiratory system, this...

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序

Same author

Effects of enteral immunonutrition on postoperative complications of colorectal cancer surgery: a systematic review and meta-analysis of randomized controlled trials.

Frontiers in nutrition·2026

Same author

Potential for primary prevention of low birth weight in pregnancies with and without gestational diabetes mellitus: a prospective cohort study in Central China.

BMC pregnancy and childbirth·2026

Same author

Modeling particle number concentrations and sources in the Beijing and Shanghai metropolitan areas with the UCD/CIT model.

Journal of environmental sciences (China)·2026

Same author

Attention-guided and MIL-constrained CycleGAN for high-fidelity virtual p16 and Ki-67 staining.

Frontiers in medical technology·2026

Same author

DPPA inhibits melanoma by targeting angiogenesis through activating autocrine IFN-γ-CXCL9/10/11-CXCR3 axis in vascular endothelial cells.

iScience·2026

Same author

Fine grained reranking via caption bridging for knowledge augmented visual question answering.

Scientific reports·2026

Search research articles

相关实验视频

Updated: May 5, 2026

Simultaneous Evaluation of Cerebral Hemodynamics and Light Scattering Properties of the In Vivo Rat Brain Using Multispectral Diffuse Reflectance Imaging

Simultaneous Evaluation of Cerebral Hemodynamics and Light Scattering Properties of the In Vivo Rat Brain Using Multispectral Diffuse Reflectance Imaging

Published on: May 7, 2017

语义信息引导的扩散后端采样用于遥感图像融合.

Chenlin Zhang¹, Yajun Chang¹, Yuhang Wu¹

¹Center for Applied Mathematics, College of Science, National University of Defense Technology, Changsha, 410073, China.

Scientific reports

|November 8, 2024

概括

本研究介绍了语义信息引导的扩散后面采样,用于融合光学和SAR图像,克服SAR斑点并提高高级任务性能,以更好地检测和分类目标.

关键词:

扩散模型是一个扩散模型.在FLCNet中,您可以使用FLCNet.图像融合图像融合图像融合这就是SAR-BM3D.语义信息是语义信息.变量推理推理是不同的.

更多相关视频

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Published on: February 25, 2021

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Published on: June 18, 2021

相关实验视频

Last Updated: May 5, 2026

Simultaneous Evaluation of Cerebral Hemodynamics and Light Scattering Properties of the In Vivo Rat Brain Using Multispectral Diffuse Reflectance Imaging

Simultaneous Evaluation of Cerebral Hemodynamics and Light Scattering Properties of the In Vivo Rat Brain Using Multispectral Diffuse Reflectance Imaging

Published on: May 7, 2017

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Published on: February 25, 2021

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Published on: June 18, 2021

科学领域:

遥感遥感遥感遥感
计算机视觉计算机视觉
人工智能的人工智能

背景情况:

图像融合结合了光学和SAR数据,但扩散模型与SAR斑点作斗争,缺乏高级语义信息.
现有的方法整合了像素级特征,限制了目标检测和分类等任务的准确性.

研究的目的:

为改进光学和SAR图像融合提出一种新的语义信息引导扩散后面采样方法.
解决当前扩散模型在处理SAR斑点方面的局限性,并为增强的下游应用纳入语义上下文.

主要方法:

使用SAR-BM3D进行预处理,以减少SAR图像中的斑点.
开发一个扩散后端采样模型,结合忠实性,规范化和语义指导术语.
利用变量扩散与变量推断和随机优化来获得忠实性和规则化,并通过交叉损失设计了FLCNet用于语义指导.

主要成果:

拟议的方法有效地整合了光学和SAR图像的信息,克服了SAR斑点干扰.
语义指导显著提高了高层任务的融合图像的质量.
在WHU-OPT-SAR和DDHRNet数据集上的实验验证证明了该方法的可行性和优越性.

结论:

语义信息引导的扩散后面采样为光学和SAR图像融合提供了强大的解决方案.
该方法增强了用于关键应用的融合图像实用性,例如目标检测和分类.
这种方法在利用扩散模型来实现多模式遥感图像融合方面取得了重大进展.