中国科学院机构知识库网格系统: 检索

Statistical Scene-Based Non-Uniformity Correction Method with Interframe Registration 期刊论文 OAI收割
Sensors, 2019, 卷号: 19, 期号: 24, 页码: 12
作者: B.Lv; S.F.Tong; Q.Y.Liu; H.J.Sun

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收藏 | 浏览/下载：16/0 | 提交时间：2020/08/24

statistical scene,non-uniformity correction,fixed-pattern noise,adaptive,registration method,correction algorithm,plane,Chemistry,Engineering,Instruments & Instrumentation

Noise analysis of grating-based x-ray differential phase-contrast imaging with angular signal radiography 期刊论文 iSwitch采集
Chinese physics b, 2017, 卷号: 26, 期号: 4, 页码: 6
作者: Faiz, Wali; Bao, Yuan; Gao, Kun; Wu, Zhao; Wei, Chen-Xi

收藏 | 浏览/下载：54/0 | 提交时间：2019/04/23

Angular signal radiography Signal-to-noise ratio Photon statistical noise Mechanical error

Noise analysis of grating-based x-ray differential phase-contrast imaging with angular signal radiography 期刊论文 OAI收割
CHINESE PHYSICS B中国物理. B, 2017, 卷号: 26, 期号: 4, 页码: 40602
作者: Faiz, W; Zhu PP(朱佩平); Tian, YC; Zhu, PP; Zan, GB

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收藏 | 浏览/下载：36/0 | 提交时间：2019/08/27

angular signal radiography signal-to-noise ratio photon statistical noise mechanical error

Improved Wavelet Modeling Framework for Hydrologic Time Series Forecasting SCI/SSCI论文 OAI收割
2013
Sang Y. F.

收藏 | 浏览/下载：31/0 | 提交时间：2014/12/24

Hydrologic time series forecasting Wavelet Black-box model Noise Statistical analysis Uncertainty artificial neural-network uncertainty assessment runoff identification decomposition conjunction variability prediction

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：23/0 | 提交时间：2013/03/25

As an effective statistical learning tool AdaBoosting has been widely used in the field of pattern recognition. In this paper a new method is proposed to improve the classification performance of hyperspectral images by combining the minimum noise fraction (MNF) and AdaBoosting. Because the hyperspectral imagery has many bands which have strong correlation and high redundancy the hyperspectral data are pre-processed by the minimum noise fraction to reduce the data's dimensionality whilst to remove noise bands simultaneously. Then we use an AdaBoost algorithm to conduct the classification of hyperspectral remotely sensed image. Experimental results show that the classification accuracy is improved and the time of calculation is reduced as well. 2012 IEEE.

The research on statistical properties of TDI-CCD imaging noise (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
Gu Y.-Y.; Shen X.-H.; He G.-X.

收藏 | 浏览/下载：23/0 | 提交时间：2013/03/25

TDI-CCD can improve the sensitivity of space camera without any degradation of spatial resolution which is widely used in aerospace imaging devices. The article describes the basic working principle and application characteristics of TDI-CCD devices analyses the composition of TDI-CCD imaging noise and propose a new method to analyze TDI-CCD imaging noise with statistical probability distribution. In order to estimate the distribution of gray values affect by noise we introduced the concept of skewness and kurtosis. We design an experiment using constant illumination light source take image with TDI-CCD working at different stage such as stage 16 stage 32 stage 48 stage 64 and stage 96 analyse the characteristics of image noise with the method we proposed experimental results show that the gray values approximately meet normal distribution in large sample cases. 2011 SPIE.

Application of improved UKF algorithm in initial alignment of SINS (EI CONFERENCE) 会议论文 OAI收割
2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce, AIMSEC 2011, August 8, 2011 - August 10, 2011, Zhengzhou, China
Su W. X.

收藏 | 浏览/下载：22/0 | 提交时间：2013/03/25

In order to improve the initial alignment accuracy and convergence rate of the SINS system proposed the improved UKF algorithm (AUKF) based on the Unscented Kalman Filter (UKF). Noise statistical characteristics are mostly unknown in real systems when it was effected by the initial value errors and dynamic model errors AUKF algorithm can real-time adjust the covariance of the state vector and observation vector and balance the right ratio of the state information and observation information in the filter results thereby improving the system performance. The experimental results show: The Improved UKF Algorithm enhances the convergence speed and alignment accuracy effectively. 2011 IEEE.

Application of adaptive Kalman filter technique in initial alignment of strapdown inertial navigation system (EI CONFERENCE) 会议论文 OAI收割
29th Chinese Control Conference, CCC'10, July 29, 2010 - July 31, 2010, Beijing, China
作者: Liu P.

收藏 | 浏览/下载：28/0 | 提交时间：2013/03/25

In order to improve the alignment precision and convergence speed of strap-down inertial navigation system but in the active system most noise statistical characteristics are unknown an initial alignment method based on Sage-Husa adaptive filter is presented. We also derived the exactitude alignment error model and adaptive Kalman filter equation in the azimuth of small misalignment angle. As usual in this case known the noise statistical characteristics we introduce the adaptive Kalman filter. It uses the information of observed data Kalman filter is suitable on-line estimation noise statistical characteristics and state simultaneously in order to improve the filter continuously so the filter has a higher estimation accuracy than the conventional Kalman filter. By simulating verifying the adaptive Kalman filter enhances the convergence speed and alignment accuracy effectively.

CR image filter methods research based on wavelet-domain hidden markov models (EI CONFERENCE) 会议论文 OAI收割
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
作者: Wang J.-L.; Wang J.-L.; Li D.-Y.; Wang Y.-P.

收藏 | 浏览/下载：18/0 | 提交时间：2013/03/25

In the procedure of computed radiography imaging we should firstly get across the characters of kinds of noises and the relationship between the image signals and noises. Based on the specialties of computed radiography (CR) images and medical image processing we have study the filtering methods for computed radiography images noises. On the base of analyzing computed radiography imaging system in detail the author think that the major two noises are Gaussian white noise and Poisson noise. Then the different relationship of between two kinds of noises and signal were studied completely. By considering both the characteristics of computed radiography images and the statistical features of wavelet transformed images a multiscale image filtering algorithm which based on two-state hidden markov model (HMM) and mixture Gaussian statistical model has been used to decrease the Gaussian white noise in computed images. By using EM (Expectation Maximization) algorithm to estimate noise coefficients in each scale and obtain power spectrum matrix then this carried through the syncretized two Filter that are IIR(infinite impulse response) Wiener Filter and HMM according to scale size and achieve the experiments as well as the comparison with other denoising methods were presented at last.

Independent component analysis for hyperspectral imagery plant classification 会议论文 OAI收割
Proceedings of SPIE-IS and T Electronic Imaging - Applications of Neural Networks and Machine Learning in Image Processing IX, San Jose, CA, United states, January 19, 2005 - January 20,2005
Du, Peng; Zhao, Huijie; Zhang, Bing; Zheng, Lanfen Source

收藏 | 浏览/下载：21/0 | 提交时间：2014/12/07

Remote sensing Acoustic noise Algorithms Bandwidth Feature extraction Imaging techniques Independent component analysis Plants (botany) Statistical methods