1) one dimensional range profiles
一维距离成像
1.
Based on the principle of one dimensional range profiles, extraneous .
基于一维距离成像原理,用画两个椭球面相交和两个球面相交的方法,分别找出紧缩场内存在的影响天线测量和目标雷达散射截面测量的干扰源,采取措施控制这些干扰源对测量的影响。
2) range profile
一维距离像
1.
Radar target recognition based on direct discriminant analysis using range profile;
基于直接辨别分析的雷达目标一维距离像识别
2.
Application of wavelet transform in stepped frequency radar s range profile;
小波变换在频率步进雷达一维距离像中的应用
3.
Recognition of radar target based on optimal subspace using range profile;
雷达目标一维距离像识别中的最优子空间法
3) one-dimensional range profile
一维距离像
1.
Automatic radar target recognition based on PCA method using one-dimensional range profile;
基于主分量分析的一维距离像雷达目标识别
2.
A new generalized discriminant analysis(GDA) method based on QR decomposition was proposed,which would be used in radar target recognition with one-dimensional range profile.
提出了一种基于QR分解的广义辨别分析算法,并将其用于雷达目标一维距离像识别。
3.
With the development of high resolution radars,one-dimensional range profile identification has been becoming an important method in radar target identification.
随着高分辨率雷达的发展,一维距离像识别已成为雷达目标识别的重要方法之一。
4) one-dimension range profile
一维距离像
1.
This paper presents a method of distance segment identification based on one-dimension range profile of ground radar target.
探讨了一种基于地面雷达目标一维距离像的距离段检测方法,通过对地杂波和地面目标探测概率的分析,确定第一次对距离像检测的门限,再通过对已经过第一次检测的回波幅度序列位置信息的掌握进行二次检测来进行对地面目标的识别。
2.
Firstly the target features are extracted from the one-dimension range profiles of radar targets by principal component analysis (PCA), then the training sets are trained by artificial neural network (ANN) of the learning vector quantization (LVQ), thus the templates are obtained.
基于目标一维距离像,提出主成分分析(principal componentanalysis,PCA)和学习向量量化(learning vector quantization,LVQ)相结合的识别方法。
3.
The effect of the target motionl on forming the one-dimension range profile in high-resolution radar with dechirping is analyzed.
针对常用高分辨雷达去斜处理方法受到目标速度影响的问题,分析了目标运动对高分辨雷达去斜处理一维距离像的影响。
5) 1-D range profile
一维距离像
1.
In this paper, the concept of 1-D range profile is first introduced ,then by analysis the feasibility of 1-D range profile for radar target recognition is discussed .
通过对光学区雷达目标一维距离像的介绍和分析 ,指出利用一维距离像进行雷达目标分类和识别的可行性 ,并针对一维距离像对姿态角变化敏感这一难点问题 ,提出两种比较实用的解决方案。
2.
By using 1-D range profile,the feature extraction of canonical correlation analysis(CCA) and kernel canonical correlation analysis(KCCA) applied to high resolution radar target identification was analyzed,then the identification experiment was performed with the out-field tested data.
利用高分辨雷达一维距离像,分析了规范相关分析(CCA)法及核规范相关分析(KCCA)应用于高分辨雷达目标识别的特征提取,用外场实测数据进行了识别实验。
3.
Target recognition algorithm based on 1-D range profile is put forward in this paper.
本文提出了基于一维距离像的目标识别算法,首先从目标一维距离像的双谱中提取双谱奇异值特征;然后通过实验的方法确定支持向量机参数取值的范围,利用遗传算法获取支持向量机的最优参数;最后应用最优参数支持向量机对三种地面坦克目标进行识别。
6) one dimensional range profile
一维距离像
1.
Echo signal forms one dimensional range profile after pulse compression.
宽带雷达具有高的距离分辨率,目标被其照射后呈现多散射中心,在径向上表现为多个距离单元,回波信号脉冲压缩后形成目标的一维距离像。
2.
This paper firstly introduces the basic principle of the angular measurement between boresight and LOS (the line of sight) of conical scanning system,and the method of angular measurement using one dimensional range profile for small size MMW seeker of High Range Resolution stepped frequency radar is presented.
本文首先介绍了圆锥扫描体制雷达系统测角的基本原理 ,针对小口径高距离分辩步进频率毫米波雷达导引头引入了用一维距离像测量目标方位角度的投影法 ,并以投影法为基础 ,用计算机仿真分析了实际系统中多普勒效应对测角的影响 ;最后给出了圆锥扫描体制雷达导引头的实验结
3.
First, the basic expression of high-resolution one dimensional range profile of the stepped frequency (SF) is deduced to explain the high resolution of the wideband signals.
首先,给出了宽带雷达信号具有高分辨能力的直观解释,推导了频率步进雷达合成高分辨一维距离像的通用数学表达式。
补充资料：成像距离
要了解摄像头的成像距离需要引进一个超焦距的概念。超焦距是指对焦点以后的能清晰成像的距离。摄像头一般都是利用了超焦距的原理，即短焦镜头在一定距离之后的景物都能比较清晰成像的特点，省去对焦功能。当然这个“清晰”不是一个绝对的概念，超焦距范围内的景物并非真正的清晰成像。由于景物不在对焦点上，因此模糊是肯定的，只是模糊的程度一般人能够接受而已。
摄像头成像距离就是指摄像头可以相对清晰成像的最近距离到无限远这一范围。例如有的摄像头其成像距离是5cm到无限远，即表示5cm是最近的成像距离，此距离以后的景物都会是相对清晰的。对于一般用户来说，如果只是安装在电脑上进行视频聊天的话，那么一般5cm到无限远的“超焦距”模式对焦已经可以满足要求了。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条