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Updated: Jan 23, 2026

Femtosecond Laser Filaments for Use in Sub-Diffraction-Limited Imaging and Remote Sensing
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Femtosecond Laser Filaments for Use in Sub-Diffraction-Limited Imaging and Remote Sensing

Published on: April 25, 2019

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基于空间-光谱组件的域级互补性,基于超谱远程传感图像分类

Huayue Chen1, Yuanyuan Li2, Bochuan Zheng2

  • 1School of Computer Science, China West Normal University Nanchong, 637002, China; Institute of Artificial Intelligence, the Key Laboratory of Optimization Theory and Applications, China West Normal University of Sichuan Province, Nanchong, 637002, China.

Neural networks : the official journal of the International Neural Network Society
|January 21, 2026
PubMed
概括

这项研究介绍了D2FuPro,一种新的高光谱图像分类方法. 它有效地整合了全球和本地空间光谱细节,通过解决同质性和异质性问题,显著提高了分类准确性.

关键词:
超光谱图像分类的分类方法中等光学域特征增强功能增强全景域低级特征提取功能全景域张量奇数值分解方式

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