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Camera optics in the ultraviolet region of the Next Generation Palomar Spectrograph
会议论文
San Francisco, California, United States, 2023.1.28--2.3
作者:
Tang LF(汤丽峰)
;
Hu ZW(胡中文)
;
Ji HX(季杭馨)
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/03/18
Spectrograph
ultraviolet region
camera optics
Schmidt camera
Inverted N-Type Lightweight Network Based on Back Projection for Image Super-Resolution Reconstruction
期刊论文
Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics, 2022, 卷号: 34, 期号: 6, 页码: 923-932
作者:
Song, Zhaoyang
;
Zhao, Xiaoqiang
;
Hui, Yongyong
;
Jiang, Hongmei
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2022/07/20
Deep learning
Image reconstruction
Optical resolving power
Signal to noise ratio
Backprojections
Deep learning
Image super-resolution reconstruction
Inverted N-type network
Low resolution images
Network-based
Reconstruction algorithms
Resolution images
Super-resolution reconstruction
Superresolution
Fusing Attention Network based on Dilated Convolution for Super Resolution
期刊论文
IEEE Transactions on Cognitive and Developmental Systems, 2022
作者:
Song, Zhaoyang
;
Zhao, Xiaoqiang
;
Hui, Yongyong
;
Jiang, Hongmei
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2022/07/20
Convolution
Data mining
Filtration
Image reconstruction
Locks (fasteners)
Optical resolving power
Quality control
Dilated convolutional attention module.
Features extraction
High-frequency informations
Images reconstruction
Information filter
Multi feature attention block
Multifeatures
Single super resolution
Superresolution
Gradual deep residual network for super-resolution
期刊论文
Multimedia Tools and Applications, 2021, 卷号: 80, 期号: 7, 页码: 9765-9778
作者:
Song, Zhaoyang
;
Zhao, Xiaoqiang
;
Jiang, Hongmei
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2021/06/03
Deep neural networks
Image enhancement
Optical resolving power
Benchmark datasets
High resolution image
Low resolution images
Quantitative evaluation
Reconstruction networks
Reconstruction process
State-of-the-art methods
Visual evaluation
High-quality and large-area echelle grating ruled on 500-mm ruling engine for the fiber array solar optical telescope (FASOT)
期刊论文
Optics Express, 2021, 卷号: 29, 期号: 23, 页码: 38268-38279
作者:
X. Mi
;
X. Qi
;
S. Zhang
;
H. Yu
;
S. Jiang and J. Zhou
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2022/06/13
Detection of magnetic impurities using electron vortex beams
期刊论文
APPLIED PHYSICS LETTERS, 2021, 卷号: 118, 期号: 8
作者:
Wang, Yan
;
Jia, Chenglong
;
Zhang, Pengming
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2021/04/12
Dipole moment
Electron beams
Nanomagnetics
Transmission electron microscopy
Vortex flow
Cylindrical wave
Electron vortex
Interference patterns
Magnetic dipole
Magnetic impurity
Optical phase
Orbital angular momentum
Vector potential
Single-image super-resolution via joint statistic models-guided deep auto-encoder network
期刊论文
Neural Computing and Applications, 2020, 卷号: 32, 期号: 9, 页码: 4885-4896
作者:
Chen, Rong
;
Qu, Yanyun
;
Li, Cuihua
;
Zeng, Kun
;
Xie, Yuan
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2020/11/14
Benchmarking
Deep neural networks
Image denoising
Image resolution
Iterative methods
Network coding
Optical resolving power
Signal to noise ratio
Non-local similarities
Peak signal to noise ratio
Regularization framework
Single images
Split Bergman iteration
Split bregman iterations
Steering kernel regressions
Total variation regularization
Improving the resolving power of Isochronous Mass Spectrometry by employing an in-ring mechanical slit
期刊论文
NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION B-BEAM INTERACTIONS WITH MATERIALS AND ATOMS, 2020, 卷号: 463, 页码: 138-142
作者:
Liu, J. H.
;
Xu, X.
;
Zhang, P.
;
Shuai, P.
;
Yan, X. L.
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2022/01/18
Storage ring
Isochronous mass spectrometry
Mass resolving power
Super-Resolution Reconstruction of Deep Residual Network with Multi-Level Skip Connections
期刊论文
Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, 2019, 卷号: 41, 期号: 10, 页码: 2501-2508
作者:
Zhao, Xiaoqiang
;
Song, Zhaoyang
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2020/11/14
Convolution
Convolutional neural networks
Eigenvalues and eigenfunctions
Gradient methods
Image processing
Optical resolving power
Stochastic models
Stochastic systems
Evaluation index
Feature information
High resolution image
Image information
Low resolution images
Multilevels
Stochastic gradient descent
Super resolution reconstruction
Theory of Generative Deep Learning II:Probe Landscape of Empirical Error via Norm Based Capacity Control
会议论文
Nanjing, China, November 23, 2018 - November 25, 2018
作者:
Xu, Wendi
;
Zhang, Ming
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2021/04/12
Deep learning
Cloud computing
Computation theory
Optical resolving power
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