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Updated: May 21, 2025

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基于[公式:参见文本]N的远程传感多图像超分辨率的研究.

Wenxin Liu1, Shengbing Che2, Wanqin Wang1

  • 1College of Computer Science and Mathematics, Central South University of Forestry & Technology, Changsha, 410004, Hunan, China.

Scientific reports
|March 20, 2025
PubMed
概括

这项研究引入了一种新的深度学习模型,用于增强远程传感图像分辨率. 拟议的网络有效地融合了空间和时间特征,大大提高了图像质量和细节,以便更好地分析.

关键词:
[公式:参见文本]N个网络模型ABFE的空间特征提取在CRFM的时间空间特征融合中.多图像超分辨率的超级分辨率.遥感图像的远程传感图像

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