中文版 | English

在结果中检索

OPT OpenIR

浏览/检索结果: 共44条，第1-10条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
Observation of three kinds of bound solitons in a black phosphorus-based erbium fiber laser 期刊论文
Optical Fiber Technology, 2024, 卷号: 82
作者:  Li, Wenlei;  Lin, Ruping;  Chen, Guangwei;  Geng, Gaoli;  Xu, Peng;  Yang, Yining;  Wang, Xinliang;  Xu, Jian
Adobe PDF(1012Kb)  |  收藏  |  浏览/下载：48/0  |  提交时间：2024/01/03
Black phosphorus  Passively mode-locked  Bound solitons  Lorentzian pulse  
A 85-Gb/s PAM-4 TIA With 2.2-mApp Maximum Linear Input Current in 28-nm CMOS 期刊论文
IEEE Solid-State Circuits Letters, 2024, 卷号: 7, 页码: 50-53
作者:  Ma, Shuaizhe;  Yin, Zhenyu;  Ran, Nianquan;  Xia, Yifei;  Yang, Ruixuan;  Yu, Chuanhao;  Xu, Songqin;  Wang, Binhao;  Qi, Nan;  Zhang, Bing;  Shi, Jingbo;  Gui, Xiaoyan;  Geng, Li;  Li, Dan
Adobe PDF(3170Kb)  |  收藏  |  浏览/下载：41/0  |  提交时间：2024/02/26
100-Gb/s PAM-4  CMOS  linearity  low noise  transimpedance amplifier (TIA)  
Multi-Prior Graph Autoencoder with Ranking-Based Band Selection for Hyperspectral Anomaly Detection 期刊论文
REMOTE SENSING, 2023, 卷号: 15, 期号: 18
作者:  Wang, Nan;  Shi, Yuetian;  Li, Haiwei;  Zhang, Geng;  Li, Siyuan;  Liu, Xuebin
Adobe PDF(4511Kb)  |  收藏  |  浏览/下载：59/0  |  提交时间：2023/10/27
hyperspectral anomaly detection  deep learning  band selection  autoencoder  
Prior-based collaborative representation with global adaptive weight for hyperspectral anomaly detection 期刊论文
Journal of Applied Remote Sensing, 2023, 卷号: 17, 期号: 3
作者:  Wang, Nan;  Shi, Yuetian;  Cheng, Yinzhu;  Yang, Fanchao;  Zhang, Geng;  Li, Siyuan;  Liu, Xuebin
Adobe PDF(3120Kb)  |  收藏  |  浏览/下载：58/0  |  提交时间：2023/10/30
anomaly detection  hyperspectral imagery  remote sensing  collaborative representation  
Unsupervised Transformer Boundary Autoencoder Network for Hyperspectral Image Change Detection 期刊论文
REMOTE SENSING, 2023, 卷号: 15, 期号: 7
作者:  Liu, Song;  Li, Haiwei;  Wang, Feifei;  Chen, Junyu;  Zhang, Geng;  Song, Liyao;  Hu, Bingliang
Adobe PDF(5283Kb)  |  收藏  |  浏览/下载：77/0  |  提交时间：2023/05/06
autoencoder  boundary information  change detection  hyperspectral image  unsupervised  
Adaptive convolution kernel network for change detection in hyperspectral images 期刊论文
APPLIED OPTICS, 2023, 卷号: 62, 期号: 8, 页码: 2039-2047
作者:  Liu, Song;  Li, Haiwei;  Chen, Junyu;  Li, Siyuan;  Song, Liyao;  Zhang, Geng;  Hu, Bingliang
Adobe PDF(18855Kb)  |  收藏  |  浏览/下载：43/0  |  提交时间：2023/08/28
Joint Texture Search and Histogram Redistribution for Hyperspectral Image Quality Improvement 期刊论文
SENSORS, 2023, 卷号: 23, 期号: 5
作者:  Hu, Bingliang;  Chen, Junyu;  Wang, Yihao;  Li, Haiwei;  Zhang, Geng
Adobe PDF(8360Kb)  |  收藏  |  浏览/下载：66/0  |  提交时间：2023/04/04
4D block aggregation  BM4D  histogram redistribution  hyperspectral quality enhancement  
Collaborative representation with multipurification processing and local salient weight for hyperspectral anomaly detection 期刊论文
JOURNAL OF APPLIED REMOTE SENSING, 2022, 卷号: 16, 期号: 3
作者:  Wang, Nan;  Shi, Yuetian;  Yang, Fanchao;  Zhang, Geng;  Li, Siyuan;  Liu, Xuebin
Adobe PDF(2122Kb)  |  收藏  |  浏览/下载：127/0  |  提交时间：2022/11/11
anomaly detection  hyperspectral imagery  remote sensing  collaborative representation  
Generation of separation-locked bound solitons in a passively mode-locked all-fiber laser with a Fabry-Perot microcavity 期刊论文
Optics and Laser Technology, 2022, 卷号: 150
作者:  Li, Wenlei;  Li, Xiaoliang;  Geng, Gaoli;  Lin, Ruping;  Chen, Guangwei;  Wang, Guomei;  Zeng, Chao;  Wang, Xinliang
Adobe PDF(1397Kb)  |  收藏  |  浏览/下载：178/2  |  提交时间：2022/03/16
Bound solitons  Fabry-Perot cavity  Mode-locking  Fiber laser  
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：180/4  |  提交时间：2022/03/09
Fourier transform imaging spectrometers (FTISs)  spectrum reconstruction (SpecR)  deep learning  U-Net  fully connected U-Net (FCUN)