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A stereo matching with reconstruction network for lowlight stereo vision 会议论文
Proceedings of 2019 2nd International Conference on Signal Processing and Machine Learning, SPML 2019, Hangzhou, China, 2019-11-27
作者:  Tang, Rui;  Zhang, Geng;  Liu, Xuebin
Adobe PDF(967Kb)  |  收藏  |  浏览/下载：192/1  |  提交时间：2020/03/06
stereo matching  low-light image  image reconstruction  image denoising  
Security analysis of continuous-variable quantum key distribution with imperfect Faraday mirror 期刊论文
LASER PHYSICS LETTERS, 2019, 卷号: 16, 期号: 11
作者:  Liang, Kexin;  Cao, Zhengwen;  Liu, Weiqi;  Wang, Jiayao;  Chai, Geng;  Zhang, Tongyi
Adobe PDF(1502Kb)  |  收藏  |  浏览/下载：215/0  |  提交时间：2020/01/09
continuous variable  quantum key distribution (QKD)  Faraday mirror (FM)  
Open-category classification of hyperspectral images based on convolutional neural networks 会议论文
Proceedings of the 3rd International Conference on Computer Science and Application Engineering, CSAE 2019, Sanya, China, 2019-10-22
作者:  Huang, Tingting;  Wang, Shuang;  Zhang, Geng;  Wang, Xueji;  Liu, Song
Adobe PDF(696Kb)  |  收藏  |  浏览/下载：224/1  |  提交时间：2019/11/27
hyperspectral image  open-category classification  spectral-spatial information  convolutional network  
Noise-resistant matching algorithm integrating regional information for low-light stereo vision 期刊论文
JOURNAL OF ELECTRONIC IMAGING, 2019, 卷号: 28, 期号: 1
作者:  Feng, Huahui;  Zhang, Geng;  Hu, Bingliang;  Zhang, Xin;  Li, Siyuan
Adobe PDF(4560Kb)  |  收藏  |  浏览/下载：205/4  |  提交时间：2019/04/09
stereo matching  low-light  random noise  regional information  
Endmember extraction from hyperspectral imagery based on QR factorisation using givens rotations 期刊论文
IET IMAGE PROCESSING, 2019, 卷号: 13, 期号: 2, 页码: 332-343
作者:  Gan, Yuquan;  Hu, Bingliang;  Liu, Weihua;  Wang, Shuang;  Zhang, Geng;  Feng, Xiangpeng;  Wen, Desheng
Adobe PDF(2947Kb)  |  收藏  |  浏览/下载：201/5  |  提交时间：2019/03/14
geophysical image processing  feature extraction  hyperspectral imaging  spectral analysis  hyperspectral imagery  QR factorisation  givens rotations  spectral unmixing  material spectral signatures  hyperspectral endmember extraction algorithm  popular endmember extraction methods  EEGR  vertex component analysis  VCA  maximum volume by householder transformation  MVHT  hardware features  
Hyperspectral image classification with imbalanced data based on oversampling and convolutional neural network 会议论文
AOPC 2019: AI in Optics and Photonics, Beijing, China, 2019-07-07
作者:  Cai, Lei;  Zhang, Geng
Adobe PDF(359Kb)  |  收藏  |  浏览/下载：95/2  |  提交时间：2020/02/28
hyperspectral classification  imbalanced data  SMOTE, oversampling  convolutional neural network