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Tree Species Classification of Drone Hyperspectral and RGB Imagery with Deep Learning Convolutional Neural Networks

机译：深度学习卷积神经网络的无人驾驶高光谱和RGB图像的树种分类

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Somayeh Nezami; Ehsan Khoramshahi; Olli Nevalainen; Ilkka Pölönen; Eija Honkavaara;
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年度 2020
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2. Classification of hyperspectral imagery using a fully complex-valued wavelet neural network with deep convolutional features [J] . Peker Musa Expert systems with applications . 2021,第Jula期

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3. Collaborative learning of lightweight convolutional neural network and deep clustering for hyperspectral image semi-supervised classification with limited training samples [J] . ISPRS Journal of Photogrammetry and Remote Sensing . 2020,第Mara期

机译：轻量级卷积神经网络和深度聚类的有限学习样本协同学习用于高光谱图像半监督分类
4. Deep Convolutional Neural Networks for Fruit Tree Classification and Spatial Analysis Using Aerial Imagery [C] . American Society of Agricultural and Biological Engineers Annual International Meeting . 2019

机译：果树分类和空中图像的深度卷积神经网络
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. Spatial-Frequency Feature Learning and Classification of Motor Imagery EEG Based on Deep Convolution Neural Network [O] . Minmin Miao, Wenjun Hu, Hongwei Yin, 2020

机译：基于深度卷积神经网络的电机图像脑电图的空间频率特征学习与分类
7. Tree Species Classification of Drone Hyperspectral and RGB Imagery with Deep Learning Convolutional Neural Networks [O] . Somayeh Nezami, Ehsan Khoramshahi, Olli Nevalainen, 2020

机译：深度学习卷积神经网络的无人驾驶高光谱和RGB图像的树种分类

Tree Species Classification of Drone Hyperspectral and RGB Imagery with Deep Learning Convolutional Neural Networks

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