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A Multi-Robot Cooperative Hunting Approach Based on Dynamic Prediction of Target Motion 会议论文  OAI收割
The Parisian Macao Macau SAR, China, December 5-8, 2017
作者:  
Zhiyong Wu(吴志勇);  Zhiqiang Cao(曹志强);  Yingying Yu(于莹莹);  Lei Pang(庞磊);  Chao Zhou(周超)
  |  收藏  |  浏览/下载:42/0  |  提交时间:2018/05/09
Small target detection based on reweighted infrared patch-image model 期刊论文  OAI收割
IET IMAGE PROCESSING, 2018, 卷号: 12, 期号: 1, 页码: 70-79
作者:  
Guo, Jun;  Wu, Yiquan;  Dai, Yimian
  |  收藏  |  浏览/下载:75/0  |  提交时间:2018/12/12
An Improved Real-time Visual Tracking Method for Space Non-cooperate Target 会议论文  OAI收割
International Symposium on Infrared Technology and Application and the International Symposiums on Robot Sensing and Advanced Control, Beijing, May 9-11, 2016
作者:  
Zhang LM(张丽敏);  Zhu F(朱枫);  Hao YM(郝颖明)
收藏  |  浏览/下载:26/0  |  提交时间:2016/09/13
Research on energy characteristics of aerospace relay mirror system (EI CONFERENCE) 会议论文  OAI收割
2011 International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2011, August 12, 2011 - August 14, 2011, Harbin, China
Liu C.; Zhong X.; Piao Y.; Jin G.
收藏  |  浏览/下载:31/0  |  提交时间:2013/03/25
Aerospace Relay Mirror System (ARMS) as a new concept weapon used in reflection of High Energy Laser (HEL) in space is studied. It extends the attacking range of Ground Based Laser (GBL) weapons enormously. Relevant researches have been carried out for many years. The structures and operating theory of the entire system consists of ground-based high energy laser weapon and space-based relay mirror. The main work of this study is focused on the analysis of relay mirror energy characteristics to deduce the relationship among the attacking range of weapon and diameter of ARMS and target irradiance. Calculation examples are also given. The results proved the strong points and feasibility of ARMS theoretically further. It is summarized that more importance should be attached to ARMS development. The results given in this paper can be reference of an actual ARMS system to some extends. 2011 IEEE.  
A matching algorithm on statistical properties of Harris corner (EI CONFERENCE) 会议论文  OAI收割
2011 International Conference on Information and Automation, ICIA 2011, June 6, 2011 - June 8, 2011, Shenzhen, China
作者:  
He B.
收藏  |  浏览/下载:21/0  |  提交时间:2013/03/25
The fundamental goal of target recognition and video tracking is to match target template with source image. Most matching methods are based on image intensity or multi-feature points. And the latter method is more popular for its high accuracy and small calculation. Image Registration Based on Feature Points focus on effective feature extraction of image points and paradigm. Harris corner in the image rotation  gray  noise and viewpoint change conditions  has an ideal match results  is more recent application of one feature point. This paper extract the Harris corner deviation and covariance firstly  experiments show that the two features exclusive  then applied them to image registration for the first time. A set of actual images have shown  this proposed method not only overcomes the complicated background  gray uneven distribution problems  but also pan and zoom the image has a good resistance. 2011 IEEE.  
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:111/0  |  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).  
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:17/0  |  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.  
Linearity measurement for image-intensified CCD (EI CONFERENCE) 会议论文  OAI收割
5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, April 26, 2010 - April 29, 2010, Dalian, China
作者:  
收藏  |  浏览/下载:34/0  |  提交时间:2013/03/25
To the characteristic of the ultraviolet CCD (UV ICCD)  technique of the linearity measurement of the UV ICCD camera is studied based on the theory of radiometry. Approach of linearity measurement is discussed  and a kind of measurement system of the UV ICCD has been developed based on the method of neutral density filter. It is very important that the transmittance of the filter is independent of the wavelength in the method of neutral density filter. Black metal screen mesh with different transmittance is used in our system  and calibration of the filters' transmittance in different working positions has been done. Meanwhile  to assure the uniform of the received radiation on the target of the detector at any test points  an integrating sphere is placed behind the neutral filter to balance light. The whole measurement system mainly consists of a deuterium lamp with high stabilization  the attenuation film with transmission  integrating sphere  optical guide and electro-shift platform. Auto control is realized via special software during the test. With this instrument  the linearity of the UV ICCD was measured. Experimental results show that the nonlinearity of the UV ICCD under fixed-gain is less than 2% and the uncertainty of measurement system is less than 4%. 2010 Copyright SPIE - The International Society for Optical Engineering.  
Using bidirectional binary particle swarm optimization for feature selection in feature-level fusion recognition system (EI CONFERENCE) 会议论文  OAI收割
2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009, May 25, 2009 - May 27, 2009, Xi'an, China
作者:  
Wang D.;  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.
收藏  |  浏览/下载:24/0  |  提交时间:2013/03/25
In feature-level fusion recognition system  the other is optimizing system sensor design to get outstanding cost performance. So feature selection become usually necessary to reduce dimensionality of the combination of multi-sensor features and improve system performance in system design. In general  there are two main missions. One is improving the recognition correct rate as soon as possible  the optimization is usually applied to feature selection because of its computational feasibility and validity. For further improving recognition accuracy and reducing selected feature dimensions  this paper presents a more rational and accurate optimization  Bidirectional Binary Particle Swarm Optimization (BBPSO) algorithm for feature selection in feature-level fusion target recognition system. In addition  we introduce a new evaluating function as criterion function in BBPSO feature selection method. At the last  we utilized Leave-One-Out method to validate the proposed method. The experiment results show that the proposed algorithm improves classification accuracy by two percentage points  while the selected feature dimensions are less one dimension than original Particle Swarm Optimization approach with 16 original feature dimensions. 2009 IEEE.  
尺度缩小合成孔径激光成像雷达的孔径合成实验 期刊论文  OAI收割
光学学报, 2008, 卷号: 28, 期号: 12, 页码: 2446, 2448
周煜; 孙建锋; 栾竹; 刘立人
收藏  |  浏览/下载:1523/171  |  提交时间:2009/09/18