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  image correlation
     Principles and Applications of Speckle Image Correlation Digital Technique
     散斑图像相关数字技术原理及应用
短句来源
     The Application of Object-Oriented Technique in Digital Speckle Image Correlation Method
     面向对象技术在数字散斑图像相关方法中的应用
短句来源
     The Application of Speckle Image Correlation Digital Technique in Deformation Measurement for Long Columns of Thin-walled Concrete-filled Steel Tube
     散斑图像相关数字技术在薄壁钢管混凝土长柱变形测量中的应用
短句来源
     Application of a digital speckle image correlation technique to vibration displacement measurement of an offshore platform model
     散斑图像相关数字技术在海洋平台结构模型振动位移测量中的应用
短句来源
     3D position of the object beforeand after deformation are obtained by projection grating method. Registration ofhomologous point is completed by image correlation identification method. 3D displacement is determined by the position difference.
     将散斑图像识别技术引入投影栅相位法中,实现了基于投影栅相位法的三维位移测量方法,由散斑图像相关识别技术实现变形前、后同名点的匹配,由物体变形前后空间位置的变化求取三维位移,拓展了投影栅的应用范围。
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  “像相关”译为未确定词的双语例句
     In this paper, two main research subjects are grating projection and imagecorrelation method for three-dimensional(3D) displacement measurement, relevantkey techniques are studied systematically.
     本文将用于三维位移测量的数字投影栅相位轮廓术和数字散斑图像相关方法作为两个主要研究方面,针对若干关键技术环节进行了系统研究。
短句来源
     Digital image/speckle correlation (DISC) is a photometric technology toaccurately determine displacement and strain.
     数字散斑图像相关法是对全场位移和应变进行量化分析的光学测量方法。
短句来源
     However, thetraditional algorithms often require reasonable initial guess of displacement and thespatial derivatives of the digital image, which increase computation complexity. Inthis study, genetic algorithms (GAs) are proposed for DISC.
     数字散斑图像相关技术中的关键问题是相关运算,作者通过对各种优化算法特性的比较和对国内外最新进展的追踪,针对传统的优化算法优化结果非常依赖所选的初始点和需要图像导数信息的两大显著缺点,提出数字散斑图像相关运算的遗传算法。
短句来源
     An infrared multispectral imagery correlation recognition method is formulated in terms of spectral radiation difference of interesting targets.
     根据研判目标的光谱辐射差异特性建立了红外多光谱图像相关识别准则 .
短句来源
  相似匹配句对
     Panoramic image mosaic based on domain correlation
     基于相位相关的全景图拼接
短句来源
     Quivering frequency correlation of optical images of laser light propagating in the turbulent medium
     湍流介质中光抖动的频率相关
短句来源
     Stone Image Statue
     石造
短句来源
     The frame includes aseries of guidelines 、process、related methods.
     相关的方法。
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     Interrelating Entropy
     相关
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  image correlation
The CyberKnife localizes clinical targets using a very accurate image-to-image correlation algorithm, and precisely cross-fires high-energy radiation from a lightweight linear accelerator by means of a highly manipulable robotic arm.
      
A general form of atom-image correlation state is constructed for the arbitrarily oriented atomic dipole and its physical interpretation is given.
      
The capability of the measurement system is compared with other measurement arrangements (DMS, Image correlation technique, holography, Moiré technique) in regard to the special efforts of its application to wood.
      
Die r?umliche und zeitliche Bildkorrelation (?spatial and temporal image correlation", STIC) bietet beeindruckende M?glichkeiten und wird kurz erkl?rt.
      
Two or more video images, one of which was undeformed and the others of which were deformed, were digitized and compared using the image correlation technique.
      
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When making the 3-D object distortion invariant correlation recognition using Optical Pattem Recognition(OPR) and Synthetic Discriminant Function(SDF) filtering technique,the correlation S/N will be degraded severely because of the three factors:nontraing images correlation,interference of background and clutter,and nonideal characteristics of OPR hardware system.As result,the failure of correlation signal extraction by thresholding technique occurs,the recognition possibility of the OPR system will be decreased...

When making the 3-D object distortion invariant correlation recognition using Optical Pattem Recognition(OPR) and Synthetic Discriminant Function(SDF) filtering technique,the correlation S/N will be degraded severely because of the three factors:nontraing images correlation,interference of background and clutter,and nonideal characteristics of OPR hardware system.As result,the failure of correlation signal extraction by thresholding technique occurs,the recognition possibility of the OPR system will be decreased greatly. A Artificial Neural Network (ANN) technique was used to improve the recognition possibility of the OPR system,to which the different output was got to the input of training,non training image and various background and clutter.Through the ROI extraction,contour mapping and off line training procedure of ANN,the correlation signal classification was performed efficiently.

在采用光学模式识别技术、SDF(综合鉴别函数)滤波技术进行实际场景中的三维目标畸变不变识别的时候,由于面对的是大量的非训练像的相关识别,加上场景图像中的不同噪声、背景的干扰,以及硬件识别系统的各种非理想特征等因素,均不可避免带来相关平面的S/N的严重退化,从而使按通常的阈值技术进行相关信号分割的方法失败。因而大大降低了OPR系统的识别效率。本文采用人工神经网络(ANN)技术与光学模式识别技术(OPR)相结合。通过对相关平面感兴趣区域(ROI)的分割与强度分布特征抽取以及脱机人工神经网络的训练过程,使OPR系统能有效地对输入的训练像、非训练像及各种背景噪声分别给出不同的输出响应,从而达到了大大提高OPR系统的正确识别率

In this paper, based on aircraft range profile of high resolution radar target, a recognition method was presented. First, after studying the correlation matching algorithm, we gave the experiment results with five aircraft models by single polarized measurement. Then, a fusion recognition method was proposed using polarized information of target under the high range resolution fully polarized radar. The experiments of recognition using the data of five kinds of aircraft models were performed and demonstrated...

In this paper, based on aircraft range profile of high resolution radar target, a recognition method was presented. First, after studying the correlation matching algorithm, we gave the experiment results with five aircraft models by single polarized measurement. Then, a fusion recognition method was proposed using polarized information of target under the high range resolution fully polarized radar. The experiments of recognition using the data of five kinds of aircraft models were performed and demonstrated that this new method has high recognition rate and low sensitivity to noise.

基于飞机目标高分辨一维距离像,给出了一种目标识别方法。首先,在研究了高分辨距离像的相关匹配算法后,给出了在单极化条件下的五种飞机目标回波的识别结果;而后,基于全极化高分辨雷达,提出了一种利用目标极化信息一维距离像的综合识别方法。实验结果表明,该方法具有高的识别率和强的抗干扰能力。

Digital scene matching area correlation (DSMAC) is a technique that has been proven to be highly successful as a navigational aid for autonomous,unmanned guided vehicles.In order to evaluate the scene correlation suitability or a performance of DSMAC algorithm,it is necessary to make a scene simulation model. Terrain contour matching (TERCOM) provides real_time fight control data and one dimensional height data for period near real_time position update of the vehicle's inertial navigation system (INS).Because...

Digital scene matching area correlation (DSMAC) is a technique that has been proven to be highly successful as a navigational aid for autonomous,unmanned guided vehicles.In order to evaluate the scene correlation suitability or a performance of DSMAC algorithm,it is necessary to make a scene simulation model. Terrain contour matching (TERCOM) provides real_time fight control data and one dimensional height data for period near real_time position update of the vehicle's inertial navigation system (INS).Because the error of TERCOM is not sufficient to decide the area,the more exact two_dimensional navigation update technique DSMAC is used [1] . [FK(W30。40ZQ] It is well understood that the periodic update and the quantity of DSMAC navigation updates required is the function of:① the performance of gyro in the INS.② the flight time of mission,and ③ the precision with which the unmanned vehicle must overfly a reconnaissance point or target location.However,less understood are the processes by which the scene correlation effectiveness of a candidate point can be predicted and ranked using a multi_parameters figure_of_merit (FOM) and how the selection of an individual FOM and the resulting accumulated series of scene suitability FOMS can be related to all mission reliability. Computer models currently available to predict DSMAC scene suitability use a single parameter ranking system,such as signal_to_noise (S/N) ratio.Current models also assume the aircraft flies straight and level,and the optimum heading,while over the scene reference area.These limitations require the introduction of an adaptive flight path modification capability in future robotic aircraft,which provides the ability for defense avoidance,or inflight re_routing.This capability will certainly require a more robust DSMAC scene selection process that is able to accommodate variations in aircraft altitude,attitude,orientation and initial position uncertainty relative to the potential scene.Current model is not enough to evaluate a real vehicle. The subject of this paper is the development of a Monto_Carlo simulation technique capable of modeling a robust DSMAC selection process,as discussed above,which characterizes scene suitability using a multi_parameter FOM .The Monte_Carlo simulation described in this paper is modular and expandable to support future studies involving other altitude reference baseline (e.g.global positioning system),other height finding instrument (e.g.LASER altimeters),and other map reference derivatives (e.g.interferometric SAR maps). In this paper,we propose a DSMAC simulation model.A Monte_Carlo simulation is produced to evaluate the potential DSMAC success rate under various scenarios and correlation algorithm.The simulation details are provided together with some preliminary result to demonstrate the feasibility of the proposed technique.It has been shown that the proposed technique can provide a cost_effective enhancement to the TAN_based mission planning process.For the future work,it can be transplanted to parallel process.It can improve the speed of calculation evidently.

分析了影响景像相关匹配精度的各种误差因素 ,并给出它们的误差仿真模型 ,该模型可以适应飞行姿态、飞行器特性、天候等条件变化时的匹配概率估计 ,并可以与图像特征参数分析方法相结合。实验验证了该模型的有效性 ,且可以快速地给出景像图的适配性估计图 ,用于飞行器的航迹规划。

 
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