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西安交通大学 [5]
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AIF-LFNet: All-in-Focus Light Field Super-Resolution Method Considering the Depth-Varying Defocus
期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 8, 页码: 3976-3988
作者:
Zhou, Shubo
;
Hu, Liang
;
Wang, Yunlong
;
Sun, Zhenan
;
Zhang, Kunbo
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2023/11/17
Light field imaging
super-resolution
depth-varying defocus
dataset
convolutional neural network
Combining discrete and continuous representation: Scale-arbitrary super-resolution for satellite images
期刊论文
Remote Sensing, 2023, 卷号: 15, 页码: 1827
作者:
An T(安泰)
;
Huo CL(霍春雷)
;
Xiang SM(向世明)
;
Pan CH(潘春洪)
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2024/01/17
scale-arbitrary super-resolution
image representation
satellite imagery
Design of imaging model for cone-pendulum scanning integrated space camera
期刊论文
Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2021, 卷号: 29, 期号: 3, 页码: 536-546
作者:
Z. Zhi
;
H.-S. Qu
;
J. Li and G.-X. Zhang
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2022/06/13
Deep CNN jointing low-high level feature for image super-resolution
会议论文
Chengdu, China, December 12, 2018 - December 14, 2018
作者:
Song, Xuhui
;
Liu, Weirong
;
Liu, Jie
;
Liu, Chaorong
;
Lu, Chunyan
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2020/11/15
Image reconstruction
Neural networks
Optical resolving power
Semantics
Textures
Convolutional neural network
High resolution image
High-level semantic features
Image super resolutions
Low resolution images
Low-high
Perceptual effects
Residual learning
A deep dual-branch networks for joint blind motion deblurring and super-resolution
会议论文
作者:
Zhang, Xinyi
;
Wang, Fei
;
Dong, Hang
;
Guo, Yu
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/11/19
Convolution neural network
High resolution image
Image super resolutions
Motion deblurring
Non-uniform motions
State of the art
Super resolution
Superresolution methods
Fast Single Image Super-Resolution via Dilated Residual Networks
期刊论文
IEEE Access, 2018
作者:
Lu, Zhang
;
Yu, Zhang
;
Ya-Li, Peng
;
Shi-Gang, Liu
;
Xiaojun, Wu
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/11/26
Convergence
Convolutional neural network
Deep convolutional neural networks
Exponential expansion
Image super resolutions
Image super-resolution
Real time performance
residual learning
Evaluation of super-resolution on bird detection performance based on deep convolutional networks
会议论文
2017 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2017 - Proceedings
作者:
Li, C.
;
Hu, H.
;
Zhang, B.
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  |  
浏览/下载:10/0
  |  
提交时间:2019/12/30
Birds
Convolution
Image reconstruction
Optical resolving power
Bird detection
Convolutional networks
Detection accuracy
Evaluation of super resolutions
Image super resolutions
Low resolution images
Object detection algorithms
Super resolution reconstruction
Object detection
Updating Landsat-based forest cover maps with MODIS images using multiscale spectral-spatial-temporal superresolution mapping
期刊论文
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2017, 卷号: 63, 页码: 129-142
作者:
Zhang, Yihang
;
Li, Xiaodong
;
Ling, Feng
;
Atkinson, Peter M.
;
Ge, Yong
收藏
  |  
浏览/下载:57/0
  |  
提交时间:2019/09/25
Forest cover mapping
MODIS
Landsat
Updating
Spectral-spatial-temporal
Super-resolution mapping
Generating a series of fine spatial and temporal resolution land cover maps by fusing coarse spatial resolution remotely sensed images and fine spatial resolution land cover maps
期刊论文
REMOTE SENSING OF ENVIRONMENT, 2017, 卷号: 196, 页码: 293-311
作者:
Li, Xiaodong
;
Ling, Feng
;
Foody, Giles M.
;
Ge, Yong
;
Zhang, Yihang
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2019/09/25
Spatial temporal fusion
Super-resolution mapping
Endmember extraction
Multi-contrast brain magnetic resonance image super-resolution using the local weight similarity.
期刊论文
BMC MEDICAL IMAGING, 2017
作者:
Zheng, Hong
;
Qu, Xiaobo
;
Bai, Zhengjian
;
Liu, Yunsong
;
Guo, Di
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2018/02/02
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