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AE-RED: A Hyperspectral Unmixing Framework Powered by Deep Autoencoder and Regularization by Denoising
Min Zhao,
Jie Chen
, Nicolas Dobigeon
航海学院
Northwestern Polytechnical University Xian
Université Fédérale Toulouse Midi-Pyrénées
科研成果
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引用 (Scopus)
综述
指纹
指纹
探究 'AE-RED: A Hyperspectral Unmixing Framework Powered by Deep Autoencoder and Regularization by Denoising' 的科研主题。它们共同构成独一无二的指纹。
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Computer Science
de-noising
100%
Regularization
100%
Autoencoder
100%
unmixing
100%
Deep Autoencoder
100%
Explicit Information
18%
Deep Learning Method
9%
Interpretability
9%
Nonlinear Mixture
9%
Learning Ability
9%
Engineering
Regularization
100%
Autoencoder
100%
Deep Learning Method
16%
Subproblem
16%
Structure Information
16%
Black Box
16%
Complex Model
16%
Earth and Planetary Sciences
Spectral Unmixing
100%
State of the Art
50%
Chemical Engineering
Deep Learning Method
100%