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Precision manufacturing of metal mirrors based on additive manufacturing 会议论文
Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, Kunming, China, 2021-12-07
作者:  Chen, Wencong;  Sun, Lijun;  Li, Siyuan;  Wu, Junqiang;  Zhang, Zhaohui
Adobe PDF(456Kb)  |  收藏  |  浏览/下载：127/0  |  提交时间：2022/04/27
additive manufacturing  metal mirror  surface modification  precision manufacturing  
Design and analysis of bonding process of the space-based rectangular curved prisms 会议论文
Seventh Asia Pacific Conference on Optics Manufacture, APCOM 2021, Shanghai, China, 2021-10-28
作者:  Jia, Xinyin;  Wang, Feicheng;  Ke, Shanliang;  Hu, Bingliang;  Li, Libo;  Zhang, Zhaohui;  Li, Siyuan
Adobe PDF(775Kb)  |  收藏  |  浏览/下载：119/2  |  提交时间：2022/03/18
bonding process  curved prisms  mechanical tests  adhesive bonding  
Research on geometric error correction of pushbroom hyperspectral camera carried by UAV 会议论文
Seventh Symposium on Novel Photoelectronic Detection Technology and Applications, Kunming, China, 2020-11-05
作者:  Yihao, Wang;  Qiang, Cong;  Shun, Yao;  Xinyin, Jia;  Jianyu, Chen;  Siyuan, Li
Adobe PDF(944Kb)  |  收藏  |  浏览/下载：197/0  |  提交时间：2021/04/12
Pushbroom Hyperspectral Imaging  UAV  Geometric Error Correction  
Research progress and core technologies of optical-mechanical system based on additive manufacturing 会议论文
AOPC 2021: Advanced Laser Technology and Applications, Beijing, China, 2021-06-20
作者:  Jia, Xinyin;  Hu, Bingliang;  Wang, Feicheng;  Li, Siyuan;  Sun, Lijun;  Wu, Junqiang
Adobe PDF(931Kb)  |  收藏  |  浏览/下载：95/1  |  提交时间：2022/01/30
optical-mechanical system  additive manufacturing  Voronoi cells  surface modification process  
Evaluation of compression quality of space-borne interference hyperspectral image 会议论文
Seventh Symposium on Novel Photoelectronic Detection Technology and Applications, Kunming, China, 2020-11-05
作者:  Zhang, Xiaorong;  Li, Siyuan;  Hu, Bingliang;  Liu, Xuebin;  Yan, Qiangqiang;  Li, Yun
Adobe PDF(748Kb)  |  收藏  |  浏览/下载：181/2  |  提交时间：2021/04/12
Hyperspectral image  Compression  Interference hyperspectral  Image Quality  
Expanded Edge Penalty Loss for Salient Object Detection 会议论文
2021 4th International Conference on Information Communication and Signal Processing, ICICSP 2021, Shanghai, China, 2021-09-24
作者:  Wang, Nan;  Shi, Yuetian;  Fang, Jie;  Yang, Fanchao;  Zhang, Geng;  Li, Siyuan;  Liu, Xuebin
Adobe PDF(860Kb)  |  收藏  |  浏览/下载：110/0  |  提交时间：2022/02/10
RGB images  Salient object detection  coarse object boundaries  expanded edge penalty loss  
Multispectral Images Deblurring via Interchannel Correlation Relationship 会议论文
2021 4th International Conference on Information Communication and Signal Processing, ICICSP 2021, Shanghai, China, 2021-09-24
作者:  Shi, Yuetian;  Wang, Nan;  Yang, Fanchao;  Zhang, Geng;  Li, Siyuan;  Liu, Xuebin
Adobe PDF(932Kb)  |  收藏  |  浏览/下载：96/0  |  提交时间：2022/02/10
multispectral images  degraded images  deblurring  interchannel correlation relationship  
Design and analysis of a moving mirror supporting mechanism for fourier transform spectroscopy 会议论文
Proceedings - 2020 3rd International Conference on Electron Device and Mechanical Engineering, ICEDME 2020, Suzhou, China, 2020-05-01
作者:  Tian, Feifei;  Li, Siyuan
Adobe PDF(461Kb)  |  收藏  |  浏览/下载：107/2  |  提交时间：2020/07/28
supporting mechanism  FTS  maximum range of travel  tilt  shear  
Overview of spaceborne hyperspectral imagers and the research progress in bathymetric maps 会议论文
Second Target Recognition and Artificial Intelligence Summit Forum, Shenyang, China, 2019-08-28
作者:  Jia, Xinyin;  Li, Siyuan;  Ke, Shanliang;  Hu, Bingliang
Adobe PDF(506Kb)  |  收藏  |  浏览/下载：268/2  |  提交时间：2020/03/23
Bathymetry maps  satellite-borne hyperspectral imagers  LiDAR  coastal zone  
A wide-band interference spectrometer based on bandpass sampling technology 会议论文
ICOSM 2020: Optoelectronic Science and Materials, Hefei, China, 2020-09-25
作者:  Tian, Feifei;  Li, Siyuan
Adobe PDF(406Kb)  |  收藏  |  浏览/下载：119/1  |  提交时间：2021/01/20
band-pass sampling  interference spectrometer  wide-band spectrum  resolution  signal-to-noise ratio