中文版 | English

在结果中检索

OPT OpenIR
（本次检索基于用户作品认领结果）

浏览/检索结果: 共6条，第1-6条 帮助

限定条件        
已选(0)清除 条数/页：   排序方式：
Learning a Fully Connected U-Net for Spectrum Reconstruction of Fourier Transform Imaging Spectrometers 期刊论文
Remote Sensing, 2022, 卷号: 14, 期号: 4
作者:  Chen, Tieqiao;  Su, Xiuqin;  Li, Haiwei;  Li, Siyuan;  Liu, Jia;  Zhang, Geng;  Feng, Xiangpeng;  Wang, Shuang;  Liu, Xuebin;  Wang, Yihao;  Zou, Chunbo
Adobe PDF(10978Kb)  |  收藏  |  浏览/下载：175/4  |  提交时间：2022/03/09
Fourier transform imaging spectrometers (FTISs)  spectrum reconstruction (SpecR)  deep learning  U-Net  fully connected U-Net (FCUN)  
Optical Remote Sensing Image Denoising and Super-Resolution Reconstructing Using Optimized Generative Network in Wavelet Transform Domain 期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 9
作者:  Feng, Xubin;  Zhang, Wuxia;  Su, Xiuqin;  Xu, Zhengpu
Adobe PDF(14071Kb)  |  收藏  |  浏览/下载：170/0  |  提交时间：2021/06/09
remote sensing  denoising  super-resolution  generative adversarial network (GAN)  residual network (ResNet)  densely connection network (DenseNet)  relativistic  wavelet transform (WT)  total variation (TV)  
Blind Image Deconvolution Algorithm Based on Sparse Optimization with an Adaptive Blur Kernel Estimation 期刊论文
APPLIED SCIENCES-BASEL, 2020, 卷号: 10, 期号: 7
作者:  Yang, Haoyuan;  Su, Xiuqin;  Chen, Songmao
Adobe PDF(3026Kb)  |  收藏  |  浏览/下载：176/1  |  提交时间：2020/07/02
image blur  blur kernel  sparse optimization  image deblurring  
Efficient learning-based blur removal method based on sparse optimization for image restoration 期刊论文
PLOS ONE, 2020, 卷号: 15, 期号: 3
作者:  Yang, Haoyuan;  Su, Xiuqin;  Chen, Songmao;  Zhu, Wenhua;  Ju, Chunwu
Adobe PDF(5370Kb)  |  收藏  |  浏览/下载：148/1  |  提交时间：2020/06/11
Non-blind image blur removal method based on a Bayesian hierarchical model with hyperparameter priors 期刊论文
OPTIK, 2020, 卷号: 204
作者:  Yang, Haoyuan;  Su, Xiuqin;  Wu, Jing;  Chen, Songmao
Adobe PDF(3208Kb)  |  收藏  |  浏览/下载：206/1  |  提交时间：2020/04/13
Image prior  Blur removal  Bayesian hierarchical model  Regularization  
Single Space Object Image Denoising and Super-Resolution Reconstructing Using Deep Convolutional Networks 期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 16
作者:  Feng, Xubin;  Su, Xiuqin;  Shen, Junge;  Jin, Humin
Adobe PDF(1556Kb)  |  收藏  |  浏览/下载：236/0  |  提交时间：2019/09/27
space object  cosmic-ray  denoising  super-resolution  CNN  residual learning