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Variety identification of oat seeds using hyperspectral imaging: investigating the representation ability of deep convolutional neural network

机译：高光谱成像的燕麦种子的各种鉴定：研究深卷积神经网络的表示能力

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Na Wu; Yu Zhang; Risu Na; Chunxiao Mi; Susu Zhu; Yong He; Chu Zhang;
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1. Variety identification of oat seeds using hyperspectral imaging: investigating the representation ability of deep convolutional neural network [J] . Wu Na, Zhang Yu, Na Risu, RSC Advances . 2019,第22期

机译：高光谱成像的燕麦种子的各种鉴定：研究深卷积神经网络的表示能力
2. Variety identification of oat seeds using hyperspectral imaging: investigating the representation ability of deep convolutional neural network [J] . Na Wu, Yu Zhang, Risu Na, RSC Advances . 2019,第22期

机译：使用高光谱成像技术鉴定燕麦种子的品种：研究深度卷积神经网络的表示能力
3. Discrimination of Chrysanthemum Varieties Using Hyperspectral Imaging Combined with a Deep Convolutional Neural Network [J] . Na Wu, Chu Zhang, Xiulin Bai, Molecules . 2018,第11期

机译：高光谱成像结合深度卷积神经网络对菊花品种的鉴别
4. Bridging the Reality Gap: Investigation of Deep Convolution Neural Networks Ability to Learn from a Combination of Real and Synthetic Data [C] . Omar Gamal, Keshavraj Rameshbabu, Mohamed Imran, International Conference on Informatics in Control, Automation and Robotics . 2020

机译：弥合现实差距：对深度卷积神经网络的调查，从真实和合成数据的组合学习的能力
5. Deep convolutional neural networks for classification of fused hyperspectral and LiDAR data. [D] . Morchhale, Saurabh. 2016

机译：深度卷积神经网络，用于融合高光谱和LiDAR数据。
6. Discrimination of Chrysanthemum Varieties Using Hyperspectral Imaging Combined with a Deep Convolutional Neural Network [O] . Na Wu, Chu Zhang, Xiulin Bai, 2018

机译：高光谱成像结合深度卷积神经网络对菊花品种的鉴别
7. Discrimination of Chrysanthemum Varieties Using Hyperspectral Imaging Combined with a Deep Convolutional Neural Network [O] . Na Wu, Chu Zhang, Xiulin Bai, 2018

机译：使用高光谱成像与深卷积神经网络相结合的菊花品种的辨别

Variety identification of oat seeds using hyperspectral imaging: investigating the representation ability of deep convolutional neural network

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