中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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An Inversion Method Based on Inherent Similarity between Signals for Retrieving Source Mechanisms of Cracks 期刊论文  OAI收割
AEROSPACE, 2022, 卷号: 9, 期号: 11, 页码: 16
作者:  
Kong, Yue;  Chen WM(陈伟民);  Liu, Ning;  Kang, Boqi;  Li, Min
  |  收藏  |  浏览/下载:38/0  |  提交时间:2022/12/20
Sleep Apnea Syndrome Sensing at C-Band 期刊论文  OAI收割
IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE-JTEHM, 2018, 卷号: 6, 页码: 8
作者:  
  |  收藏  |  浏览/下载:38/0  |  提交时间:2019/01/08
On hyperspectral remotely sensed image classification based on MNF and AdaBoosting (EI CONFERENCE) 会议论文  OAI收割
2012 3rd IEEE/IET International Conference on Audio, Language and Image Processing, ICALIP 2012, July 16, 2012 - July 18, 2012, Shanghai, China
作者:  
Yu P.;  Yu P.;  Gao X.
收藏  |  浏览/下载:28/0  |  提交时间:2013/03/25
An improved hyperspectral classification algorithm based on back-propagation neural networks (EI CONFERENCE) 会议论文  OAI收割
2012 2nd International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2012, June 1, 2012 - June 3, 2012, Nanjing, China
作者:  
Yu P.;  Yu P.
收藏  |  浏览/下载:38/0  |  提交时间:2013/03/25
In this paper  a new method is proposed to improve the classification performance of hyperspectral images by combining the principal component analysis (PCA)  genetic algorithm (GA)  and artificial neural networks (ANNs). First  some characteristics of the hyperspectral remotely sensed data  such as high correlation  high redundancy  etc.  are investigated. Based on the above analysis  we propose to use the principal component analysis to capture the main information existing in the hyperspectral images and reduce its dimensionality consequently. Next  we use neural networks to classify the reduced hyperspectral data. Since the back-propagation neural network we used is easy to suffer from the local minimum problem  we adopt a genetic algorithm to optimize the BP network's weights and the threshold. Experimental results show that the classification accuracy is improved and the time of calculation is reduced as well. 2012 IEEE.  
Precise motion compensation based on weighted sub-pixel image matching (EI CONFERENCE) 会议论文  OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Imaging Detectors and Applications, May 24, 2011 - May 26, 2011, Beijing, China
Liang H. G.
收藏  |  浏览/下载:28/0  |  提交时间:2013/03/25
This paper proposed a sub-pixel image correlation algorithm that can get more Precise result  its principle is apply the distribute of relativity peak to get weighted multi-pixel comprehensive of location. Image correlation be as to calculates the greyscale relativity of image template and matching image  the relativity of correspond location where match best with template will be most high  and in its neighbour range  the relativity will be still keep high too. We used these pixel in this local area of calculated match point to get sub-pixel accuracy  the relativity of every pixel be used as its weight for participate the sub-pixel calculation. The sub-pixel location is more accuracy than the integer one  we applied this method to perform background compensation in processing the target detecting for video image sequence. At the end of this paper  some experiment data be proposed  it proved this sub-pixel image correlation can obtain better result. 2011 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:32/0  |  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.  
2D correlation spectral study of a coordination polymer Eu(PCPOA)(3)(H2O) (n) 期刊论文  OAI收割
Spectroscopy and Spectral Analysis, 2007, 卷号: 27, 期号: 5, 页码: 842-845
R. Q. Sun; H. H. Zhang; Y. N. Cao; Y. P. Chen; Q. Y. Yang; Z. Y. Wang
收藏  |  浏览/下载:37/0  |  提交时间:2013/04/01
Photoelectron spectroscopic (PE) spectra of PAN and PPN molecules 期刊论文  OAI收割
ACTA CHIMICA SINICA, 2003, 卷号: 61
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  |  收藏  |  浏览/下载:19/0  |  提交时间:2020/10/26
Density-functional theory with optimized effective potential and self-interaction correction for ground states and autoionizing resonances 期刊论文  OAI收割
PHYSICAL REVIEW A, 1997, 卷号: 55, 期号: 5, 页码: 3406
Tong, XM; Chu, SI
收藏  |  浏览/下载:28/0  |  提交时间:2013/09/17