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• 地理科学与资源研究所 [5]
• 力学研究所 [1]
• 计算技术研究所 [1]
• 长春光学精密机械与物... [1]
• 光电技术研究所 [1]
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• OAI收割 [11]

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• 期刊论文 [6]
• SCI/SSCI论文 [3]
• 会议论文 [2]

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• 2024 [1]
• 2022 [1]
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学科主题

• 光存储 [1]

筛选

浏览/检索结果: 共11条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Digital Surface Model Super-Resolution by Integrating High-Resolution Remote Sensing Imagery Using Generative Adversarial Networks 期刊论文  OAI收割 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2024, 卷号: 17, 页码: 10636-10647 作者:  Sun, Guihou;  Chen, Yuehong;  Huang, Jiamei;  Ma, Qiang;  Ge, Yong   |  收藏  |  浏览/下载：7/0  |  提交时间：2024/08/30 Feature extraction  Remote sensing  Generators  Spatial resolution  Surface topography  Digital surface model (DSM)  generative adversarial networks (GANs)  remote sensing imagery  slope loss  super-resolution (SR)   A robust super-resolution reconstruction model of turbulent flow data based on deep learning 期刊论文  OAI收割 COMPUTERS & FLUIDS, 2022, 卷号: 239, 页码: 15 作者:  Zhou, Zhideng;  Li, Binglin;  Yang, Xiaolei;  Yang, Zixuan;  Yang XL(杨晓雷)   |  收藏  |  浏览/下载：41/0  |  提交时间：2022/07/18 Super-resolution model  Direct numerical simulation  Large-Eddy simulation  Isotropic turbulence  Unresolved scales   Towards effective learning for face super-resolution with shape and pose perturbations 期刊论文  OAI收割 KNOWLEDGE-BASED SYSTEMS, 2021, 卷号: 220, 页码: 10 作者:  Hu, Xiyuan;  Fan, Zhenfeng;  Jia, Xu;  Li, Zhihui;  Zhang, Xuyun   |  收藏  |  浏览/下载：37/0  |  提交时间：2021/12/01 Convolutional neural networks  Face super-resolution  Facial landmarks  3D face model   Video Super-Resolution Using Non-Simultaneous Fully Recurrent Convolutional Network 期刊论文  OAI收割 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 3, 页码: 1342-1355 作者:  Li, Dingyi;  Liu, Yu;  Wang, Zengfu   |  收藏  |  浏览/下载：26/0  |  提交时间：2019/12/25 Video super-resolution  non-simultaneous  recurrent convolutional network  residual connection  model ensemble   Influence of reconstruction scale, spatial resolution and pixel spatial relationships on the sub-pixel mapping accuracy of a double-calculated spatial attraction model 期刊论文  OAI收割 REMOTE SENSING OF ENVIRONMENT, 2018, 卷号: 210, 页码: 345-361 作者:  Wu, Shangrong;  Ren, Jianqiang;  Chen, Zhongxin;  Jin, Wujun;  Liu, Xingren   |  收藏  |  浏览/下载：44/0  |  提交时间：2019/05/23 Sub-pixel mapping  Super-resolution mapping  Double-calculated spatial attraction model  Scale factor  Pixel spatial relationships  Spatial resolution   One-parameter l1 Prior in Variational Bayesian Super resolution 会议论文  OAI收割 作者:  Min Lei [1,2,3,4], Yang Ping [1,3], Liu Wenjin [1,3], Luan Yinsen [1,3], Xu Bing [1,3], Liu Yong [2]   |  收藏  |  浏览/下载：23/0  |  提交时间：2018/12/20 super resolution  prior model  variational Bayesian  Kullback-Leibler distance   Hybrid Constraints of Pure and Mixed Pixels for Soft-Then-Hard Super-Resolution Mapping With Multiple Shifted Images SCI/SSCI论文  OAI收割 2015 作者:  Chen Y. H.;  Ge, Y.;  Heuvelink, G. B. M.;  Hu, J. L.;  Jiang, Y. 收藏  |  浏览/下载：29/0  |  提交时间：2015/12/09 Hybrid constraints  multiple shifted images (MSIs)  remotely sensed  imagery  super-resolution mapping (SRM)  hopfield neural-network  remote-sensing imagery  markov-random-field  land-cover  sensed imagery  spatial-resolution  hyperspectral imagery  contouring methods  attraction model  subpixel scale   Super-Resolution Land Cover Mapping Based on Multiscale Spatial Regularization SCI/SSCI论文  OAI收割 2015 作者:  Hu J. L.;  Ge, Y.;  Chen, Y. H.;  Li, D. Y. 收藏  |  浏览/下载：24/0  |  提交时间：2015/12/09 Fraction images  heterogeneity  homogeneity  multiscale  regularization  remote sensing  spatial dependence  super-resolution mapping (SRM)  markov-random-field  remotely-sensed images  hopfield neural-network  model  identification  dependence  algorithm  map   Super-resolution using adaptive blur parameter estimation (EI CONFERENCE) 会议论文  OAI收割 2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010, September 23, 2010 - September 25, 2010, Chengdu, China 作者:  Wang H.;  Wang H.;  Wang H.;  Wang H.;  Liu G. 收藏  |  浏览/下载：15/0  |  提交时间：2013/03/25 Super-resolution is a term for a set of methods of increasing image or video resolution. All these methods are based on the same idea: using information from several images to create one upsized image. In most of the super-resolution algorithms  the blur parameter of a LR-image model is always manually set as a default value. In this paper  we propose a method to adaptively estimate the blur parameter. We get the initial image of iteration by fusing all low-resolution images. When it is used in MAP algorithm  three iterations are enough to get a stable solution. It is greatly reduce the computational power compared with other MAP algorithms. Experiments to real image sequences show that it well preserved the image detail and the reconstructed image is clear. 2010 IEEE.   Super-Resolution Reconstruction of Remote Sensing Images Using Multifractal Analysis SCI/SSCI论文  OAI收割 2009 作者:  Ge Y. 收藏  |  浏览/下载：27/0  |  提交时间：2012/06/08 super-resolution reconstruction  multifractal analysis  information  transfer  fractal code  gaussian upscaling  land-cover  model  turbulence