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Chinese Academy of Sciences Institutional Repositories Grid
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浏览/检索结果: 共19条,第1-10条 帮助

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Precision Improvement of Underwater Single Photon Imaging Based on Model Matching 期刊论文  OAI收割
IEEE PHOTONICS TECHNOLOGY LETTERS, 2023, 卷号: 35, 期号: 5, 页码: 253-256
作者:  
Zhang, Zhenyang;  Chen, Songmao;  Wang, Jie;  Ma, Caiwen;  Su, Xiuqin
  |  收藏  |  浏览/下载:27/0  |  提交时间:2023/03/06
A Continuous Change Tracker Model for Remote Sensing Time Series Reconstruction 期刊论文  OAI收割
REMOTE SENSING, 2022, 卷号: 14, 期号: 9, 页码: 21
作者:  
Zhang, Yangjian;  Wang, Li;  He, Yuanhuizi;  Huang, Ni;  Li, Wang
  |  收藏  |  浏览/下载:24/0  |  提交时间:2022/09/21
Applications of differential barometric altimeter in ground cellular communication positioning network 期刊论文  OAI收割
IET SCIENCE MEASUREMENT & TECHNOLOGY, 2020, 卷号: 14, 期号: 3, 页码: 322-331
作者:  
Hu, Zhengqun;  Zhang, Lirong;  Ji, Yuanfa
  |  收藏  |  浏览/下载:24/0  |  提交时间:2021/12/06
cellular radio  height measurement  measurement errors  Global Positioning System  altimeters  barometers  least squares approximations  Kalman filters  surface fitting  spread spectrum communication  compensation  matrix algebra  GPS  signal message structure  power spectrum  spread spectrum ranging signal  fitting parameters  least-square solution  calibration compensation  system noise variance matrix  measurement noise variance matrix  multibase station correction  height information correction calculation  DBA system  systematic performance  differential barometric altimeter  ground cellular communication positioning network  measurement datum distribution  altitude positioning error  Global Positioning System  differential barometric altimetry system  systematic implementation level  continuous altitude measurement  precise altitude measurement  DBA systematic implementation aspect  two dimensional curved surface fitting function  sensor measurement correction  filtering effect  Kalman filter  measuring station  multiBSs  navigation fusion  
Analysis on velocity distribution and displacement along the profile of a slope using both empirical and analytical methods 期刊论文  OAI收割
Journal of Mountain Science, 2017, 卷号: 14, 期号: 12, 页码: 2589-2602
作者:  
CHEN Tie-lin;  ZHOU Cheng;  LIU En-long;  DAI Feng;  LIU Jiao
  |  收藏  |  浏览/下载:236/0  |  提交时间:2017/12/07
Research on Optimization Method of Deep Neural Network 会议论文  OAI收割
LIDAR IMAGING DETECTION AND TARGET RECOGNITION 2017, Changchun, China, July 23-25, 2017
作者:  
Zhao HC(赵怀慈);  Liu PF(刘鹏飞);  Cao FD(曹飞道)
  |  收藏  |  浏览/下载:24/0  |  提交时间:2017/12/21
Using arctan function-based fitting method to characterize faults and fractures 期刊论文  OAI收割
CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2015, 卷号: 58, 期号: 12, 页码: 4628-4635
作者:  
Yu Jing-Bo;  Li Zhong
  |  收藏  |  浏览/下载:21/0  |  提交时间:2017/11/27
Correction of B2(bot) for NeQuick during low solar activity at Hainan station 期刊论文  OAI收割
ADVANCES IN SPACE RESEARCH, 2012, 卷号: 49, 期号: 7, 页码: 1160-1166
作者:  
Wang, S. G.;  Shi, J. K.;  Wang, X.;  Wang, G. J.;  Zhang, H. F.
收藏  |  浏览/下载:32/0  |  提交时间:2014/12/15
Variations of snow temperature and their influence on snow cover physical parameters in the Western Tianshan Mountains, China 期刊论文  OAI收割
JOURNAL OF MOUNTAIN SCIENCE, 2011, 卷号: 8, 期号: 6, 页码: 827–837
Chen Xia; Wei WenShou; Liu MingZhe; Gu GuangQin
收藏  |  浏览/下载:55/0  |  提交时间:2013/08/12
Adaptive Wiener filtering with Gaussian fitted point spread function in image restoration (EI CONFERENCE) 会议论文  OAI收割
2011 IEEE 2nd International Conference on Software Engineering and Service Science, ICSESS 2011, July 15, 2011 - July 17, 2011, Beijing, China
作者:  
Yang L.;  Zhang X.;  Zhang X.;  Zhang X.;  Yang L.
收藏  |  浏览/下载:44/0  |  提交时间:2013/03/25
In the imaging process of the space remote sensing camera  there was degradation phenomenon in the acquired images. In order to reduce the image blur caused by the degradation  the remote sensing images were restored to give prominence to the characteristic objects in the images. First  the frequency-domain notch filter was adopted to remove strip noises in the images. Then using the ground characters with the knife-edge shape in the images  the point spread function of the imaging system was estimated. In order to improve the accuracy  the estimated point spread function was corrected with Gaussian fitting method. Finally  the images were restored using the adaptive Wiener filtering with the fitted point spread function. Experimental results of the real remote sensing images showed that almost all strip noises in the images were eliminated. After the denoised images were restored  its variance and its gray mean gradient increased  also its laplacian gradient increased. Restoration with Gaussian fitted point spread function is beneficial to interpreting and analyzing the remote sensing images. After restoration  the blur phenomenon of the images is reduced. The characters are highlighted  and the visual effect of the images is clearer. 2011 IEEE.  
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:24/0  |  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.