中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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浏览/检索结果: 共14条,第1-10条 帮助

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Geolocation Error Estimation and Correction on Long-Term MWRI Data 期刊论文  OAI收割
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 卷号: 59, 期号: 11, 页码: 9448-9461
作者:  
Liu, Jiazheng;  Li, Weifu;  Peng, Jiangtao;  Shen, Lijun;  Han, Hua
  |  收藏  |  浏览/下载:39/0  |  提交时间:2021/12/28
A game-theoretic approach to sub-vertex registration 期刊论文  OAI收割
PATTERN RECOGNITION LETTERS, 2016, 卷号: 80, 页码: 98-106
作者:  
Wang, Rong;  Geng, Zheng;  Cao, Xuan;  Pei, Renjing;  Meng, Xiangbing
收藏  |  浏览/下载:36/0  |  提交时间:2016/12/26
A kinect (tm) camera based navigation system for percutaneous abdominal puncture 期刊论文  iSwitch采集
Physics in medicine and biology, 2016, 卷号: 61, 期号: 15, 页码: 5687-5705
作者:  
Xiao, Deqiang;  Luo, Huoling;  Jia, Fucang;  Zhang, Yanfang;  Li, Yong
收藏  |  浏览/下载:55/0  |  提交时间:2019/05/09
Modified four-pass differential SAR interferometry for estimating mountain glacier surface velocity fields 期刊论文  OAI收割
Remote Sensing Letters, 2016, 卷号: 7, 期号: 1, 页码: 1-10
作者:  
Liu, Guang;  Guo, Huadong;  Yue, Huanyin;  Perski, Zbigniew;  Yan, Shiyong
收藏  |  浏览/下载:75/0  |  提交时间:2017/04/24
Impacts of radiance data assimilation on the Beijing 7.21 heavy rainfall 期刊论文  OAI收割
Atmospheric Research, 2016, 卷号: 169, 页码: 318-330
作者:  
Xie, Yanhui;  Xing, Jianyong;  Shi, Jiancheng;  Dou, Youjun;  Lei, Yonghui
收藏  |  浏览/下载:28/0  |  提交时间:2017/04/24
Ricci flow-based spherical parameterization and surface registration 期刊论文  OAI收割
COMPUTER VISION AND IMAGE UNDERSTANDING, 2013, 卷号: 117, 期号: 9, 页码: 1107-1118
作者:  
Chen, X.;  He, H.;  Zou, G.;  Zhang, X.;  Gu, X.
收藏  |  浏览/下载:31/0  |  提交时间:2015/08/12
大规模集成电路显微图像自动采集系统相关技术研究与开发 学位论文  OAI收割
工程硕士, 中国科学院自动化研究所: 中国科学院大学, 2013
作者:  
张旭;  张旭;  张旭
收藏  |  浏览/下载:110/0  |  提交时间:2015/09/02
Recognizing Occluded 3D Faces Using an Efficient ICP Variant 会议论文  OAI收割
Melbourne, Australia, 9-13 July 2012
作者:  
Peijiang Liu;  Yunhong Wang;  Di Huang;  Zhaoxiang Zhang
  |  收藏  |  浏览/下载:23/0  |  提交时间:2017/02/09
Astronomical image restoration through atmosphere turbulence by lucky imaging (EI CONFERENCE) 会议论文  OAI收割
3rd International Conference on Digital Image Processing, ICDIP 2011, April 15, 2011 - April 17, 2011, Chengdu, China
作者:  
Zhao J.;  Wang J.;  Zhang S.
收藏  |  浏览/下载:28/0  |  提交时间:2013/03/25
In this paper  we develop a lucky imaging system to restore astronomical images through atmosphere turbulence. Our system takes very short exposures  on the order of the atmospheric coherence time. The rapidly changing turbulence leads to a very variable point spread function (PSF)  and the variability of the PSF leads to some frames having better quality than the rest. Only the best frames are selected  aligned and co-added to give a final image with much improved angular resolution. Our system mainly consists of five parts: preprocessing  frame selection  image registration  image reconstruction  and image enhancement. Our lucky imaging system has been successfully applied to restore the astronomical images taken by a 1.23m telescope. We have got clear images of moon surface and Jupiter  and our system can be demonstrated to greatly improve the imaging resolution through atmospheric turbulence. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).  
A new accurate and fast algorithm of sub-pixel image registration (EI CONFERENCE) 会议论文  OAI收割
2010 IEEE 10th International Conference on Signal Processing, ICSP2010, October 24, 2010 - October 28, 2010, Beijing, China
作者:  
He B.
收藏  |  浏览/下载:27/0  |  提交时间:2013/03/25
In terms of large field view and multi-channel TDICCD remote sensing images  previous interpolation methods and curve fitting methods are not able to achieve the high accuracy and fast registration  and their noise immunity and robustness is not high. For that  this paper presents a more accurate and faster method  iterative pixel interpolation and surface fitting method. Firstly  the method uses the some overlapping pixels between multi-channel images. Secondly  the proposed technique  which is based on the maximization of the correlation coefficient function  combines an efficient pixel-moving interpolation scheme with surface fitting  which makes use of accurate interpolation calculation and fast surface fitting in the iterative process. Finally  the accuracy and speed of the algorithm is evaluated by sub-pixel registration of multi-channel images and comparison with other sorts of efficient methods. The experiment results show that the accuracy of the method reaches 0.01 pixels and it is 3 times faster than the interpolation method. In the registration of large field view and multi-channel TDICCD images  the method is accurate and fast  with greatly high stability  noise immunity and robustness. 2010 IEEE.