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超声水浸法高精度测量玻璃材料声速的研究 期刊论文
声学技术, 2020, 卷号: 39, 期号: 6, 页码: 693-696
Authors:  魏文卿;  张媛媛;  徐涛;  刘红;  伍凡
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脉冲反射法  超声水浸  时间间隔  超低膨胀玻璃  声速  
Ф1.05m轻量化反射镜设计与制造 期刊论文
光电工程, 2020, 卷号: 47, 期号: 10, 页码: 200317-1-9
Authors:  胡瑞;  陈志强;  张媛媛;  徐涛;  刘红;  张继友
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空间光学系统  轻量化反射镜  优化设计  光学加工  
光电跟踪系统中精密控制技术研究进展 期刊论文
光电工程, 2020, 卷号: 47, 期号: 10, 页码: 200315-1-29
Authors:  唐涛;  马佳光;  陈洪斌;  付承毓;  杨虎;  任戈;  杨文淑;  亓波;  曹雷;  张孟伟;  包启亮;  谭毅;  黄永梅;  毛耀;  王强
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光电跟踪  精密控制  扰动抑制  目标跟踪  智能协同  分布式  
基于传输相位和几何相位协同调控的消色差超透镜 期刊论文
光电工程, 2020, 卷号: 47, 期号: 10, 页码: 200237-1-9
Authors:  申益佳;  谢鑫;  蒲明博;  张飞;  马晓亮;  郭迎辉;  李雄;  王长涛;  罗先刚
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超透镜  可见光  消色差  宽带  
大口径光学非球面镜先进制造技术概述 期刊论文
光电工程, 2020, 卷号: 47, 期号: 10, 页码: 200203-1-23
Authors:  刘锋伟;  吴永前;  陈强;  刘海涛;  闫锋涛;  张仕杨;  万勇建;  伍凡
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大口径非球面  光学加工  光学测试  
CMOS fixed pattern noise elimination based on sparse unidirectional hybrid total variation 期刊论文
Sensors, 2020, 卷号: 20, 期号: 19, 页码: 1-20
Authors:  Zhang, Tao;  Li, Xinyang;  Li, Jianfeng;  Xu, Zhi
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FPN  sparse  total variation  anisotropy  characteristic  
Infrared Image Adaptive Enhancement Guided by Energy of Gradient Transformation and Multiscale Image Fusion 期刊论文
Applied Sciences-Basel, 2020, 卷号: 10, 期号: 3, 页码: 10186262-1-12
Authors:  Chen, Feiran;  Zhang, Jianlin;  Cai, Jingju;  Xu, Tao;  Lu, Gang;  Peng, Xianrong
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Digital Image Processing  Image Enhancement  Dynamic Range Adjustment And Compression  Guided Filter  
Remote sensing image scene classification with noisy label distillation 期刊论文
Remote Sensing, 2020, 卷号: 12, 期号: 15
Authors:  Zhang, Rui;  Chen, Zhenghao;  Zhang, Sanxing;  Song, Fei;  Zhang, Gang;  Zhou, Quancheng;  Lei, Tao
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scene classification  teacher-student  noisy labels  knowledge distillation  remote sensing images  
Digging into Pseudo Label: A Low-Budget Approach for Semi-Supervised Semantic Segmentation 期刊论文
IEEE Access, 2020, 卷号: 8, 页码: 41830-41837
Authors:  Chen, Zhenghao;  Zhang, Rui;  Zhang, Gang;  Ma, Zhenhuan;  Lei, Tao
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Semantics  Image segmentation  Training  Semisupervised learning  Pipelines  Standards  Reliability  Sematic segmentation  semi-supervised learning  computer vision  deep learning  
CMOS Fixed Pattern Noise Removal Based on Low Rank Sparse Variational Method 期刊论文
Applied Sciences-Basel, 2020, 卷号: 10, 期号: 3, 页码: 10113094-1-26
Authors:  Zhang, Tao;  Li, Xinyang;  Li, Jianfeng;  Xu, Zhi
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Fpn  Low Rank  Sparse  Total Variation  Anisotropy  Characteristic