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西北工业大学 国内
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Attention-Enhanced Generative Adversarial Network for Hyperspectral Imagery Spatial Super-Resolution
Baorui Wang, Yifan Zhang, Yan Feng, Bobo Xie,
Shaohui Mei
电子信息学院
Northwestern Polytechnical University Xian
科研成果
:
期刊稿件
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同行评审
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引用 （Scopus）
综述
指纹
指纹
探究 'Attention-Enhanced Generative Adversarial Network for Hyperspectral Imagery Spatial Super-Resolution' 的科研主题。它们共同构成独一无二的指纹。
分类
加权
按字母排序
Computer Science
super resolution
100%
Generative Adversarial Networks
100%
Spectral Information
20%
Superior Performance
20%
Spatial Resolution
20%
High Correlation
20%
Interdependency
20%
Context Information
20%
U-Net
20%
Resolution Method
20%
Discriminator
20%
High Spectral Resolution
20%
Degradation Model
20%
Earth and Planetary Sciences
Spatial Resolution
100%
Spectral Resolution
100%
Discriminator
100%
Engineering
Hyperspectral Imagery
100%
Spatial Attention
33%
Illustrates
11%
Network Model
11%
Spectral Information
11%
Constrains
11%
Interdependency
11%
Real Data
11%
Spatial Resolution
11%
Degradation Model
11%
Discriminator
11%
Context Information
11%
High Spectral Resolution
11%
Pixel Position
11%