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IMAGE LABELING FOR LIDAR INTENSITY IMAGE USING K-NN OF FEATURE OBTAINED BY CONVOLUTIONAL NEURAL NETWORK

机译：利用卷积神经网络获得特征的K-NN对激光雷达图像进行图像标注

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M. Umemura; K. Hotta; H. Nonaka; K. Oda;
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1. 利用多幅侧视雷达图像进行干涉测量 [J] . 胡丽红武测译文 . 1997,第004期
2. Convolutional neural networks for relevance feedback in content based image retrieval A Content based image retrieval system that exploits convolutional neural networks both for feature extraction and for relevance feedback [J] . Lorenzo Putzu, Luca Piras, Giorgio Giacinto Multimedia Tools and Applications . 2020,第37a38期

机译：基于内容的图像检索的相关反馈的卷积神经网络基于内容的图像检索系统，用于利用特征提取和相关性反馈的卷积神经网络
3. Analysis of the proficiency of fully connected neural networks in the process of classifying digital images. Benchmark of different classification algorithms on high-level image features from convolutional layers [J] . Janke Jonathan, Castelli Mauro, Popovic Ales Expert Systems with Application . 2019,第NOVa期

机译：分析全连接神经网络在数字图像分类过程中的熟练程度。不同分类算法在卷积层高级图像特征上的基准测试
4. Analysis of the proficiency of fully connected neural networks in the process of classifying digital images. Benchmark of different classification algorithms on high-level image features from convolutional layers [J] . Janke Jonathan, Castelli Mauro, Popovic Ales Expert systems with applications . 2019,第Nova期

机译：分析数字图像分类过程中完全连接神经网络的熟练程度分析。不同分类算法的基准从卷积层的高级图像特征
5. IMAGE LABELING FOR LIDAR INTENSITY IMAGE USING K-NN OF FEATURE OBTAINED BY CONVOLUTIONAL NEURAL NETWORK [C] . Masaki Umemura, Kazuhiro Hotta, Hideki Nonaka, ISPRS Congress . 2016

机译：使用卷积神经网络获得的K-NN的LIDAR强度图像的图像标记
6. Label Text Recognition Using Image Processing Techniques and Convolutional Neural Networks for Smart Library [D] . Wang, Ziming. 2017

机译：使用图像处理技术标记文本识别和智能库的卷积神经网络
7. Multi-labelled proteins recognition for high-throughput microscopy images using deep convolutional neural networks [O] . Enze Zhang, Boheng Zhang, Shaohan Hu, 2021

机译：使用深卷积神经网络的高吞吐量显微镜图像多标记的蛋白质识别
8. Introducing a method for extracting features from facial images based on applying transformations to features obtained from convolutional neural networks [O] . Morteza ali Ahmadi, Rouhollah Dianat 2020

机译：基于应用转换对从卷积神经网络获得的特征来引入一种从面部图像提取特征的方法

IMAGE LABELING FOR LIDAR INTENSITY IMAGE USING K-NN OF FEATURE OBTAINED BY CONVOLUTIONAL NEURAL NETWORK

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