中国科学院机构知识库网格系统: 检索

Image deformation based on contour using moving integral least squares 期刊论文 OAI收割
IET IMAGE PROCESSING, 2019, 卷号: 13, 期号: 1, 页码: 152-160
作者: Yu, Chong; Chen, Xi; Yin, Lei; Shu, Chang; Zhao, Li

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deformation least squares approximations optimisation image registration splines (mathematics) computational geometry feature extraction medical image processing deformation function effective image deformation methods contour image deformation method Integral Least Squares optimisation control contours desired contours intuitive deformations

PREDICTING THE ADAPTABILITY OF SUDDEN OAK DEATH IN CHINA USING SPATIAL INFORMATION TECHNOLOGY 会议论文 OAI收割
2012 Ieee International Geoscience and Remote Sensing Symposium, New York
Liu, Cheng; Cao, Chunxiang; Zhang, Jianlong; Ma, Aiguo; Chen, Wei; Xu, Min; Sakai, Tetsuro

收藏 | 浏览/下载：23/0 | 提交时间：2014/12/07

Sudden oak death adaptability analytic hierarchy process fuzzy mathematics method spatial information technology PHYTOPHTHORA-RAMORUM CALIFORNIA RISK

Research on infrared dim-point target detection and tracking under sea-sky-line complex background (EI CONFERENCE) 会议论文 OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
作者: Dong Y.-X.; Zhang H.-B.; Li Y.; Li Y.; Li Y.

收藏 | 浏览/下载：116/0 | 提交时间：2013/03/25

Target detection and tracking technology in infrared image is an important part of modern military defense system. Infrared dim-point targets detection and recognition under complex background is a difficulty and important strategic value and challenging research topic. The main objects that carrier-borne infrared vigilance system detected are sea-skimming aircrafts and missiles. Due to the characteristics of wide field of view of vigilance system the target is usually under the sea clutter. Detection and recognition of the target will be taken great difficulties.There are some traditional point target detection algorithms such as adaptive background prediction detecting method. When background has dispersion-decreasing structure the traditional target detection algorithms would be more useful. But when the background has large gray gradient such as sea-sky-line sea waves etc.The bigger false-alarm rate will be taken in these local area.It could not obtain satisfactory results. Because dim-point target itself does not have obvious geometry or texture feature in our opinion from the perspective of mathematics the detection of dim-point targets in image is about singular function analysis.And from the perspective image processing analysis the judgment of isolated singularity in the image is key problem. The foregoing points for dim-point targets detection its essence is a separation of target and background of different singularity characteristics.The image from infrared sensor usually accompanied by different kinds of noise. These external noises could be caused by the complicated background or from the sensor itself. The noise might affect target detection and tracking. Therefore the purpose of the image preprocessing is to reduce the effects from noise also to raise the SNR of image and to increase the contrast of target and background. According to the low sea-skimming infrared flying small target characteristics the median filter is used to eliminate noise improve signal-to-noise ratio then the multi-point multi-storey vertical Sobel algorithm will be used to detect the sea-sky-line so that we can segment sea and sky in the image. Finally using centroid tracking method to capture and trace target. This method has been successfully used to trace target under the sea-sky complex background. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).

characterizations of locally testable linear- and affine-invariant families 会议论文 OAI收割
17th Annual International Computing and Combinatorics Conference, COCOON 2011, Dallas, TX, United states, August 14,
Li Angsheng; Pan Yicheng

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收藏 | 浏览/下载：29/0 | 提交时间：2011/10/10

Algebra Boolean functions Characterization Codes (symbols) Combinatorial mathematics Finite element method

Study on navigation control method for CyberCar based on machine vision (EI CONFERENCE) 会议论文 OAI收割
2007 IEEE International Conference on Robotics and Biomimetics, ROBIO, December 15, 2007 - December 18, 2007, Yalong Bay, Sanya, China
Zhang R.-H.; Wang R.-B.; You F.; Jia H.-G.; Chen T.

收藏 | 浏览/下载：35/0 | 提交时间：2013/03/25

The guiding principle and composition of CyberCar based on machine vision was introduced. Applying IM sequence signals as input response signals and least squares method to establish the dynamic equation for CyberCar steering system by system identification experiments firstly and then combined with the preview kinematics model and two-degree steering dynamic model of vehicle. Therefore it can trace the path steadily and reliably. 2008 IEEE. the steering control mathematics model based on preview kinematics for CyberCar was established. And then the switching hyper plane is designed by applying the optimal control theory during the change of the curve curvature radius is little the curve tracking of the intelligent vehicle is carried out by adopting sliding variable structure controller. Aim at the parameter uncertainty of tire a vehicle steering system uncertain model was founded and analyzed. A H optimal controller is designed with the method of H control theory to solve the problem about model uncertainty. The simulation and experiment results show that the controller designed by the proposed method has good robustness and adaptability

Platform and steady kalman state observer design for intelligent vehicle based on visual guidance (EI CONFERENCE) 会议论文 OAI收割
2008 IEEE International Conference on Industrial Technology, IEEE ICIT 2008, April 21, 2008 - April 24, 2008, Chengdu, China
Rong-hui Z.; Rong-ben W.; Feng Y.; Hong-guang J.; Tao C.

收藏 | 浏览/下载：24/0 | 提交时间：2013/03/25

State observer design is one of key technologies in research field of intelligent vehicle. Experiment platform visual guidance intelligent vehicle JLUIV-5 is establishedby Jilin University Intelligent Vehicle Group firstly. The system structure and assistant navigation control system and different image identify algorithms to recognize preview path and stops for variable illuminations are introduced. The dynamic response equation of steering control system was got by system identification experiment. By combined with the preview kinematics model and two-degree steering dynamic model of vehicle the steering kalman filter mathematics model based on preview kinematics for intelligent vehicle was obtained. And observer is designed by applying steady Kalman filter theory. The simulation and experiment results carry out in Jilin University Nanling Campus and Culture Center of Jilin Province show that the image identify algorithms and steady Kalmanstate observer designed by the proposed method has good adaptability for time-varying and parameters uncertain it can satisfy intelligent vehicle trace the path reliably during outdoor experiment. 2008 IEEE.

Robust optimal control technology for four-wheel steering vehicle (EI CONFERENCE) 会议论文 OAI收割
2007 IEEE International Conference on Mechatronics and Automation, ICMA 2007, August 5, 2007 - August 8, 2007, Harbin, China
Zhang R.-H.; Cheng G.-Y.; Wang G.-Q.; Jia H.-G.; Chen T.

收藏 | 浏览/下载：30/0 | 提交时间：2013/03/25

Establish the two degree of freedom model of four-wheel steering vehicle. A H2 optimal controller and Kalman filter is designed when the control mathematics model is certainty. Aim at the parameter uncertainty of tire a four-wheel vehicle steering system uncertain model was founded and analyzed. A H optimal controller is designed with the method of H control theory to solve the problem about model uncertainty. The simulation results show that the controller designed by the proposed method has good robustness it can easily attenuate the model uncertainty and also has the strong ability to resist the disturbance. 2007 IEEE. adaptability and stability

Design of GPS/INS integrated navigation system based on multisensor information fusion (EI CONFERENCE) 会议论文 OAI收割
6th World Congress on Intelligent Control and Automation, WCICA 2006, June 21, 2006 - June 23, 2006, Dalian, China
Chunmei H.; Yantao T.; Wanxin S.; Mao L.

收藏 | 浏览/下载：45/0 | 提交时间：2013/03/25

Two kinds of design methods of GPS/INS integrated navigation system are presented that is GPS/INS integrative system and integrated navigation system based on information fusion. By analyzing mathematics model of the first system error we found that inertia velocity error would cause code loop track error. Consequently the pseudo range meterage error is interrelated with inertia velocity error which is complex to calculate. If this relativity is ignored in the state equation and observation equation of this system it must affect the estimated precision of the kalman filter and maybe the system is unstable. Therefore the second integrated navigation method is introduced. It adopts information fusion federal kalman filter and covariance. And consider the above pertinence to analyze the navigation performance of the integration system. Then it gives the flow of federal kalman filter algorithm. By analyzing the conclusion is that velocity error of integrated navigation system drops from 0.5m/s to below 0.05m/s and improves the precision and reliability of the navigation system effectively well continuity and real-time capability. It provides an effective way for data analysis and process of fusion navigation system. 2006 IEEE.

Study on color model conversion for camera with neural network based on the combination between second general revolving combination design and genetic algorithm (EI CONFERENCE) 会议论文 OAI收割
ICO20: Illumination, Radiation, and Color Technologies, August 21, 2005 - August 26, 2005, Changchun, China
作者: Li Z.; Zhou F.; Wang C.; Li Z.

收藏 | 浏览/下载：39/0 | 提交时间：2013/03/25

Munsell color system is selected to establish the mutual conversion between RGB and L*a*b* color model for camera. The color luminance meter and CCD camera synchronously measure the same color card XYZ value is gotten from the color luminance meter the training error is 0.000748566 it can show that the method combining second general revolving combination design with genetic algorithm can optimize the hidden-layer structure of neural network. Using the data of testing set to test this network and calculating the color difference between forecast value and true value the color picture captured from CCD camera is expressed for RGB value as the input of neural network and the L*a*b* value converted from XYZ value is regarded as the real color value of target card which the difference is not obvious comparing with forecast result the maximum is 5.6357 NBS namely the output of neural network. The neural network of two hidden-layers is considered the minimum is 0.5311 NBS so the second general revolving combination design is introduced into optimizing the structure of neural network and the average of color difference is 3.1744 NBS. which can carry optimization through unifying project design data processing and the precision of regression equation. Their mathematics model of encoding space is gained and the significance inspection shows the confidence degree of regression equation is 99%. The mathematics model is optimized by genetic algorithm optimization solution is gotten and function value of the goal is 0.0007168. The neural network of the optimization solution is trained

Measuring the system gain of the TDI CCD remote sensing camera (EI CONFERENCE) 会议论文 OAI收割
Advanced Materials and Devices for Sensing and Imaging II, November 8, 2004 - November 10, 2004, Beijing, China
Ya-xia L.; Hai-ming B.; Jie L.; Jin R.; Zhi-hang H.

收藏 | 浏览/下载：70/0 | 提交时间：2013/03/25

The gain of a TDI CCD camera is the conversion between the number of electrons recorded by the TDI CCD and the number of digital units (counts) contained in the CCD image"[1]. TDI CCD camera has been a main technical approach for meeting the requirements of high-resolution and lightweight of remote sensing equipment. It is useful to know this conversion for evaluating the performance of the TDI CCD camera. In general a lower gain is better. However the resulting slope is the gain of the TDI CCD. We did the experiments using the Integration Sphere in order to get a flat field effects. We calculated the gain of the four IT-EI-2048 TDI CCD. The results and figures of the four TDI CCD are given. this is only true as long as the total well depth (number of electrons that a pixel can hold) of the pixels can be represented. High gains result in higher digitization noise. System gains are designed to be a compromise between the extremes of high digitization noise and loss of well depth. In this paper the mathematical theory is given behind the gain calculation on a TDI CCD camera and shows how the mathematics suggests ways to measure the gain accurately according to the Axiom Tech. The gains were computed using the mean-variance method also known as the method of photon transfer curves. This method uses the effect of quantization on the variance in the measured counts over a uniformly illuminated patch of the detector. This derivation uses the concepts of signal and noise. A linear fit is done of variance vs. mean