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西北工业大学 国内
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Hyperspectral Unmixing for Additive Nonlinear Models with a 3-D-CNN Autoencoder Network
Min Zhao, Mou Wang,
Jie Chen
, Susanto Rahardja
航海学院
Northwestern Polytechnical University Xian
科研成果
:
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探究 'Hyperspectral Unmixing for Additive Nonlinear Models with a 3-D-CNN Autoencoder Network' 的科研主题。它们共同构成独一无二的指纹。
分类
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Engineering
Nonlinearity
100%
Convolutional Neural Network
100%
Nonlinear Model
100%
Autoencoder
100%
Hyperspectral Image Processing
100%
Illustrates
50%
Hyperspectral Data
50%
State-of-the-Art Method
50%
Real Data
50%
Material Component
50%
Generality
50%
Computer Science
Convolutional Neural Network
100%
Autoencoder
100%
unmixing
100%
Nonlinear Model
100%
Hyperspectral Image Processing
40%
Linear Mixture
40%
Hyperspectral Data
20%
Nonlinear Mixture
20%
Deep Autoencoder
20%
Earth and Planetary Sciences
Spectral Unmixing
100%
Hyperspectral Image
66%
Nonlinearity
66%
Image Processing
66%
State of the Art
33%