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Compressive spectral imaging system for soil classification with three-dimensional convolutional neural network
Yue Yu
,
Tingfa Xu
*
, Ziyi Shen, Yuhan Zhang, Xi Wang
*
此作品的通讯作者
计算机学院
光电学院
Beijing Institute of Technology
科研成果
:
期刊稿件
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文章
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同行评审
22
引用 （Scopus）
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探究 'Compressive spectral imaging system for soil classification with three-dimensional convolutional neural network' 的科研主题。它们共同构成独一无二的指纹。
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Engineering
Imaging Systems
100%
Convolutional Neural Network
100%
Classification Method
66%
Spectral Domain
66%
Classification Problem
66%
Tasks
33%
Demonstrates
33%
Experimental Result
33%
Obtains
33%
Feature Extraction
33%
Conventional Method
33%
Spatial Resolution
33%
Hyperspectral Image
33%
Dimensionality
33%
Principal Components
33%
Component Analysis
33%
Compressive Sensing
33%
Liquid Crystal
33%
Perception Model
33%
Spatial Domain
33%
Propose Method
33%
Sensing Method
33%
Computer Science
Convolutional Neural Network
100%
Imaging Systems
100%
Spectral Imaging
100%
Classification Method
66%
Spectral Domain
66%
Classification Problem
66%
Experimental Result
33%
Feature Extraction
33%
Conventional Method
33%
Dimensionality Reduction
33%
Hyperspectral Image
33%
Component Analysis
33%
Principal Components
33%
Compressive Sensing
33%
Spatial Resolution
33%
Spatial Domain
33%
Discriminability
33%
Resolution Detector
33%
Spectral Property
33%
Chemistry
Hyperspectral Imaging
100%
Liquid Crystal
100%
Physics
Convolutional Neural Network
100%
Liquid Crystal
33%
Tunable Filter
33%
Earth and Planetary Sciences
Soil Classification
100%
Tunable Filter
20%