中国科学院机构知识库网格系统: 检索

Self-adaptive LED spectrum-tunable light source with high output irradiance and uniformity 期刊论文 OAI收割
OPTICS COMMUNICATIONS, 2024, 卷号: 569
作者: Li, Zhengang; Liu, Jiaxiang; Pan, Ying; Cheng, Zhen; Si, Ganshang

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收藏 | 浏览/下载：9/0 | 提交时间：2024/11/22

Light emitting diode Spectral fitting algorithm Differential evolution Half-integrating sphere Light mixing system

Study on surface fitting algorithm applied in manufacturing of CFETR VV 期刊论文 OAI收割
FUSION ENGINEERING AND DESIGN, 2021, 卷号: 170
作者: Fan, Xiaosong; Gu, Yongqi; Ji, Haibiao; Zheng, Yuanyang; Liu, Zhihong

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收藏 | 浏览/下载：37/0 | 提交时间：2021/08/30

CFETR VV Measuring and fitting method Weight factor Fitting algorithm

Rail Detection Based on LSD and the Least Square Curve Fitting 期刊论文 OAI收割
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 1, 页码: 85-95
作者: Yun-Shui Zheng; Yan-Wei Jin

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收藏 | 浏览/下载：25/0 | 提交时间：2021/02/23

Rail inspection line segment detector (LSD) algorithm the least square curve fitting foreign object detection

A ROBOT POSE ESTIMATION APPROACH BASED ON OBJECT TRACKING IN MONITORING SCENES 期刊论文 OAI收割
INTERNATIONAL JOURNAL OF ROBOTICS & AUTOMATION, 2017, 卷号: 32, 期号: 3, 页码: 256-265
作者: Yuan, Wenbo; Cao, Zhiqiang; Zhang, Yujia; Tan, Min

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收藏 | 浏览/下载：19/0 | 提交时间：2017/07/18

Object Tracking Improved Particle Filter Multi-mode Ransac Algorithm Pose Estimation Trajectory Fitting

基于GA-SVM回归的成矿有利度预测方法探讨/Discussion on Prediction Method for the Contribution Degrees to the Metallogenesis Based on GA-SVM Regression[J] 期刊论文 OAI收割
新疆地质, 2014, 卷号: 4, 页码: 546-551
作者: 李东; 周可法; 孙卫东; 王金林; 吴艳爽

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收藏 | 浏览/下载：28/0 | 提交时间：2017/12/29

成矿预测遗传算法(Ga) 支持向量机(Svm) 非线性拟合 Metallogenesis Prediction Genetic Algorithm (Ga) Support Vector Machine (Svm) Nonlinear Fitting

A sub-pixel extraction method for the center of the circular structure from spot array calibration target (EI CONFERENCE) 会议论文 OAI收割
2012 3rd International Conference on Information Technology for Manufacturing Systems, ITMS 2012, September 8, 2012 - September 9, 2012, Qingdao, China
作者: Liu Y.; Zhang T.; Yang H.; Gao X.; Liu Y.

收藏 | 浏览/下载：75/0 | 提交时间：2013/03/25

The imaging measurement system must be calibrated before application. In calibration procedure sub-pixel center extraction is the crucial step for the final accuracy. In this paper a new sub-pixel extraction method is proposed. Edge detection at pixel level is obtained using LOG operator then sub-pixel edge detection is realized using the Facet model. Finally the least squares ellipse fitting is operated on the sub-pixel edge to determine the sub-pixel center. Experiment on a series of simulated images indicates that this algorithm is able to realize the center location accuracy of 0.01-0.02 pixel and meets the requirement of sub-pixel level. (2012) Trans Tech Publications Switzerland.

Data processing method of multi-position strap-down north seeking system based on SVD (EI CONFERENCE) 会议论文 OAI收割
2011 International Conference on Mechatronic Science, Electric Engineering and Computer, MEC 2011, August 19, 2011 - August 22, 2011, Jilin, China
Shen C.-W.; Liu C.; Yu S.-B.; Wang Z.-Q.; Li J.-R.

收藏 | 浏览/下载：36/0 | 提交时间：2013/03/25

With the aim to fit the sin wave curve of a multi-position strap-down north seeking system and to calculate the real north angle accurately the principles of the system and the algorithm of singular value decomposition(SVD) are introduced. The factors influencing the measuring precision are also analyzed. Then the algorithm is adopted to fit curves. Experimental results indicate that the singular value decomposition is very precise for its error sum is 1.1102V and the squared error is 2.8mV. Moreover for phase angle measurement measured six times in same direction the squared error is 24 (1). The method based on SVD can satisfy the system precision requirements of curve-fitting north seeking systems. 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：25/0 | 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.

A new research of sub-pixel level accuracy of TDICCD remote sensing image registration (EI CONFERENCE) 会议论文 OAI收割
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
作者: He B.

收藏 | 浏览/下载：24/0 | 提交时间：2013/03/25

In the field of remote sensing imaging TDICCD remote sensing images have a lot of their own characteristics such as high-resolution large amount of information less overlapping parts of pixels additional image blurring etc. Therefore there exist many difficulties especially in terms of high-accuracy registration of pairs of images. For that this paper presents two new pixel interpolation method for sub-pixel level registering images that allows for scaling translation and rotation. 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 greatly reduces the overall computational cost. The accuracy of the algorithm is evaluated by calculating correlation coefficient of couples of points belonging to images transformed with preset factors and also comparing it to other sorts of methods. The experiment results show that the accuracy of registration reaches 0.01 pixels. 2010 IEEE.

The method on the measurement of the aircraft attitude by the spatial cosines relationship of the single station and planes to the intersection the multi-station of electro-optical theodolite (EI CONFERENCE) 会议论文 OAI收割
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
Zhao L.-R.; Cao Y.-G.

收藏 | 浏览/下载：16/0 | 提交时间：2013/03/25

In order to realize the aircraft attitude measurement The paper advances electro-optical theodolite methods of measuring the aircraft attitude by using the spatial cosines relationship the single station theodolite and how to use intersection of the multi-station theodolite. The single station theodolite was introduced in a measured distance from the aircraft posture information. An exhaustive approach was used to access to the aircraft axis of the feature points and the location in the space was used to obtain space posture parameters. The multi-station theodolite was introduced to get the information of the aircraft flight attitude by method of using planes to the intersection. Two-dimensional image to obtain objective axis by fitting algorithm using Hough transform. And then Calculate the vertical distance of the origin to the target of the central axis and the origin to the target of the central axis of the angle between the normal and the X-axis obtaining the linear equation in the two-dimensional plane. Two-dimensional axis of the target image and the camera system's optical center only identified a space plane. The aircraft yaw axis angle and pitch angle can be obtained by getting the space axis using plains to the intersection method. Experimental results show that attitude angle error of the single station theodolite is less than 1 when its distance is less than 6000m and attitude angle error of the multi-station theodolite is less than 0.6 when its intersection angle is between 30 and 150. In this paper according to test result of precision comparing the mathematical model is correct and the algorithm is reasonable in extracting effective parameters of the aircraft's attitude. 2010 IEEE.