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浏览/检索结果: 共7条,第1-7条 帮助

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Design of electronic system for 2D hard X-ray spectrum camera on EAST 期刊论文  OAI收割
FUSION ENGINEERING AND DESIGN, 2024, 卷号: 205
作者:  
Zhou, Run-Hui;  Shen, Biao;  Lin, Shi-Yao;  Cao, Hong-Rui;  Zhao, Jin-Long
  |  收藏  |  浏览/下载:4/0  |  提交时间:2024/11/22
Research on 2D Image Motion Compensation for a Wide-Field Scanning Imaging System with Moving Base 期刊论文  OAI收割
PHOTONICS, 2023, 卷号: 10, 期号: 12
作者:  
Chang, Sansan;  Chen, Weining;  Cao, Jianzhong;  Mei, Chao;  Li, Xiang
  |  收藏  |  浏览/下载:45/0  |  提交时间:2024/01/24
ESPAC-based 2D mini-array microtremor method and its application in urban rail transit construction planning 期刊论文  OAI收割
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, 2021, 卷号: 115, 页码: 12
作者:  
Xu, Peifen;  Ling, Suqun;  Long, Gang;  Qiao, Gaoqian;  Shen, Qiuhua
  |  收藏  |  浏览/下载:75/0  |  提交时间:2021/10/25
Targeted photoswitchable imaging of intracellular glutathione by a photochromic glycosheet sensor 期刊论文  OAI收割
BEILSTEIN JOURNAL OF ORGANIC CHEMISTRY, 2019, 卷号: 15, 页码: 2380-2389
作者:  
Chai, Xianzhi;  Han, Hai-Hao;  Zang, Yi;  Li, Jia;  He, Xiao-Peng
  |  收藏  |  浏览/下载:70/0  |  提交时间:2020/07/01
GPCR Activation and Endocytosis Induced by a 2D Material Agonist 期刊论文  OAI收割
ACS APPLIED MATERIALS & INTERFACES, 2017, 卷号: 9, 期号: 17, 页码: 14709-14715
作者:  
Dou, Wei-Tao;  Kong, Ya;  He, Xiao-Peng;  Chen, Guo-Rong;  Zang, Yi
  |  收藏  |  浏览/下载:24/0  |  提交时间:2019/01/08
Centroid localization algorithm based on bicubic interpolation gray square weighted (EI CONFERENCE) 会议论文  OAI收割
2012 3rd International Conference on Advances in Materials and Manufacturing Processes, ICAMMP 2012, December 22, 2012 - December 23, 2012, Beihai, China
作者:  
Zhou J.
收藏  |  浏览/下载:152/0  |  提交时间:2013/03/25
The 3D coordinates of measured point is embodied in 2D image coordinate of the optical characteristic point via the visual measurement system. Based on the gray square weighted centroid localization algorithm  the paper presents bicubic interpolation gray square weighted centroid localization algorithm  increases the number of effective pixels around the optical characteristic point imaging center  and reduces noise error via the gray square weighted  improves the imaging center location accuracy of optical characteristic point  realizes the accurate location of the optical characteristic points. Results indicate application of the proposed algorithm to location  the standard tolerance along the direction of x is 0.0022 Pixel  the standard tolerance along the direction of y is 0.0023 Pixel  compared with the others  the standard tolerance is minimum and discrete to a lesser degree distancing ideal image point  that is  the proposed algorithm has higher location accuracy. The maximum tolerance along the direction of x is 0.008 Pixel  the one along the direction of y is 0.007 Pixel  compared with the other two algorithms  the maximum tolerance is minimum.Results indicate that the stability of the proposed algorithm is better. (2013) Trans Tech Publications  Switzerland.  
Panoramic aerial camera image motion measurement using a hybrid system (EI CONFERENCE) 会议论文  OAI收割
2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010, July 9, 2010 - July 11, 2010, Chengdu, China
作者:  
Jia P.
收藏  |  浏览/下载:28/0  |  提交时间:2013/03/25
Image motion compensation is significantly important for aerial camera photograph. To execute the compensation  we must determine the image motion exactly. This paper proposes a method of real-time image motion measurement for panoramic aerial cameras based on image processing using a hybrid system. Two cameras are simultaneously used in the hybrid system. One main linear CCD for imaging  while the other auxiliary low resolution high frame rate area CCD for determining the image motion based on 2D spatial correlation. The demanding computational requirements for the real-time 2D spatial correlation are covered by a joint transform optical correlator. Simulation test results show that the accuracy is improved and the measurement error is within 0.2 pixels for input images with SNR=1 dB. 2010 IEEE.