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西北工业大学 国内
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Hyperspectral image classification using two-channel deep convolutional neural network
Jingxiang Yang,
Yongqiang Zhao
, Jonathan Cheung Wai Chan, Chen Yi
自动化学院
Northwestern Polytechnical University Xian
Vrije Universiteit Brussel
科研成果
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同行评审
136
引用 （Scopus）
综述
指纹
指纹
探究 'Hyperspectral image classification using two-channel deep convolutional neural 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
Convolutional Neural Network
100%
Deep Learning Method
33%
Feature Extraction
66%
Hyperspectral Image
100%
Image Classification
100%
Joints (Structural Components)
33%
Real Data
33%
Spatial Domain
33%
Spatial Feature
100%
Spectral Domain
33%
Spectral Feature
33%
Transfer Learning
33%
Computer Science
Convolutional Neural Network
33%
Deep Convolutional Neural Networks
100%
Deep Learning Method
33%
Feature Extraction
66%
Fully Connected Layer
33%
Hyperspectral Image
100%
Image Classification
100%
Spatial Domain
33%
Spectral Domain
33%
Spectral Feature
33%
Training Sample
66%
Transfer Learning
33%