中国科学院机构知识库网格系统: 检索

Noise reduction technology of TEM using optimization of instrument sampling function 期刊论文 OAI收割
CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2017, 卷号: 60, 期号: 9, 页码: 3677-3684
作者: Wu Xin; Xue Guo-Qiang; Xiao Pan; Rao Li-Ting; Guo Rui

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收藏 | 浏览/下载：32/0 | 提交时间：2017/11/24

Transient electromagnetic system Noise Instrument sampling function Gauss function Complex window function Notching filter

Fingerprint classification by a hierarchical classifier 期刊论文 OAI收割
PATTERN RECOGNITION, 2013, 卷号: 46, 期号: 12, 页码: 3186-3197
作者: Cao, Kai; Pang, Liaojun; Liang, Jimin; Tian, Jie

收藏 | 浏览/下载：35/0 | 提交时间：2015/08/12

Fingerprint classification Complex filter response Support vector machine Ridge line flow Hierarchical classifier

复杂场景多目标跟踪中的遮挡算法与应用研究 学位论文 OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2012
作者: 丁欢

收藏 | 浏览/下载：116/0 | 提交时间：2015/09/02

复杂场景多目标跟踪遮挡分割粒子滤波嵌入式 complex scenes multi-target tracking occlusion segmentation particle filter embedded system

一种基于分割的机载LiDAR点云数据滤波/Filtering of LiDAR Based on Segmentation[J] 期刊论文 OAI收割
武汉大学学报：信息科学版, 2012, 卷号: 37, 期号: 3, 页码: 318-321
作者: 胡举; 杨辽; 沈金祥; 吴小波; 中国科学院新疆生态与地理研究所遥感与GIS应用自治区重点实验室,乌鲁木齐市北京南路818号830011／中国科学院研究生院,北京市玉泉路甲19号100049

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收藏 | 浏览/下载：19/0 | 提交时间：2017/12/29

机载Lidar 滤波分割缓冲区不连续地形复杂建筑物 Lidar Filter Segmentation Buffer Discontinuities Complex Buildings

The new approach for infrared target tracking based on the particle filter algorithm (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: Sun H.; Han H.-X.; Sun H.

收藏 | 浏览/下载：63/0 | 提交时间：2013/03/25

Target tracking on the complex background in the infrared image sequence is hot research field. It provides the important basis in some fields such as video monitoring precision and video compression human-computer interaction. As a typical algorithms in the target tracking framework based on filtering and data connection the particle filter with non-parameter estimation characteristic have ability to deal with nonlinear and non-Gaussian problems so it were widely used. There are various forms of density in the particle filter algorithm to make it valid when target occlusion occurred or recover tracking back from failure in track procedure but in order to capture the change of the state space it need a certain amount of particles to ensure samples is enough and this number will increase in accompany with dimension and increase exponentially this led to the increased amount of calculation is presented. In this paper particle filter algorithm and the Mean shift will be combined. Aiming at deficiencies of the classic mean shift Tracking algorithm easily trapped into local minima and Unable to get global optimal under the complex background. From these two perspectives that "adaptive multiple information fusion" and "with particle filter framework combining" we expand the classic Mean Shift tracking framework.Based on the previous perspective we proposed an improved Mean Shift infrared target tracking algorithm based on multiple information fusion. In the analysis of the infrared characteristics of target basis Algorithm firstly extracted target gray and edge character and Proposed to guide the above two characteristics by the moving of the target information thus we can get new sports guide grayscale characteristics and motion guide border feature. Then proposes a new adaptive fusion mechanism used these two new information adaptive to integrate into the Mean Shift tracking framework. Finally we designed a kind of automatic target model updating strategy to further improve tracking performance. Experimental results show that this algorithm can compensate shortcoming of the particle filter has too much computation and can effectively overcome the fault that mean shift is easy to fall into local extreme value instead of global maximum value.Last because of the gray and fusion target motion information this approach also inhibit interference from the background ultimately improve the stability and the real-time of the target track. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).

Research on method of eliminating accurately mechanical resonance frequency of the theodolite by complex notch filter (EI CONFERENCE) 会议论文 OAI收割
2011 International Conference on System Science, Engineering Design and Manufacturing Informatization, ICSEM 2011, October 22, 2011 - October 23, 2011, Guiyang, China
Cai L.-H.; Gao H.-B.; Zhang S.-M.; Ma Q.-K.

收藏 | 浏览/下载：34/0 | 提交时间：2013/03/25

In this paper We apply a complex notch filter to eliminate accurately influence of Mechanical resonance frequency on theodolite performance. By comparing magnitude-frequency characteristic of system and notch filter make two frequency characteristics counteract at the mechanical resonance frequency. Experiments show that the method can eliminate accurately mechanical resonance frequency and improve bandwidth and stability of the theodolite. 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：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).

Discrete complex amplitude filter for ultra long optical tube 会议论文 OAI收割
2011 international conference on optical instruments and technology: optoelectronic devices and integration, beijing, china, november 6, 2011 - november 9, 2012
WangJiming; LiuQingliang; LiuYouwen; ChenWeibin; ZhanQiwen

收藏 | 浏览/下载：42/0 | 提交时间：2012/07/09

Optical trapping azimuthal polarization discrete complex amplitude filter optical tube depth of focus

复杂场景下移动机器人自适应视觉跟踪方法研究 学位论文 OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2010
作者: 王鹏

收藏 | 浏览/下载：170/0 | 提交时间：2015/09/02

移动机器人复杂环境自适应视觉跟踪目标模型在线学习粒子滤波 mobile robot complex environment adaptive visual tracking online target model learning particle filter

Inhibition of electromagnetic interference in control system based on DSP of high-power TEA CO2 laser (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: Meng F.-J.; Guo L.-H.; Wang H.-Q.

收藏 | 浏览/下载：45/0 | 提交时间：2013/03/25

The strong electromagnetic interference (EMI) generated in high-power TEA C02 laser system mainly comes from main discharge circuit pulse spark switch and power supply. Such strong EMI causes great damage and interference to the control system based on DSP. In this paper we present the interference sources and their distribution and propose the methods of anti-interference. Measures for hardware design include weakening transient ground potential difference by using equipotential lines between devices using signal isolation interface to inhibit the transient ground potential interference and rational layout shielding and filtering to the control system. And methods for software design include range-limited filter self-diagnosis and self-repair for the critical data and anti-interference during abnormal reset. The EMI has been inhibited effectively by the anti-interference method proposed above. The result shows that: the software anti-interference method is as important as the hardware anti-interference method for the control system in a complex environment of strong EMI. 2010 IEEE.