target recognition

target recognition的基本解释

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目标识别

与target recognition相关的网络例句 [注：此内容来源于网络，仅供参考]

In this chapter, three kinds of target recognition methods are performed, which are:①Target recognition method based on the description of polarization parameter plane. The echo polarization states of target are projected onto the polarization state plane described by the ellipticity ε and the tilt angle τ of the polarization ellipse, the change of parameter following ferquency becomes the chart. According to the changing trait of the chart, the multidimensional polarization feature space of target has been contructed. Furthermore, a series of polarization feature parameters used in designing the structure of target recognition device are extracted, and they are insensible to the posture of target.②Target recognition method based on the description of Poincare polarization sphere. The echo polarization states of target expressed by Stokes vector are projected onto the Poincare polarization sphere. The conception of polarization ferquency stability, which is used in describing the dynamic distribution characteristics of the target echo polarization states on Poincare polarization sphere, has been defined. A group of polarization feature parameters used in designing the structure of target recognition device are extracted, and they are insensible to the posture of target.③Target recognition method based on the description of frequency sensitivity. In accordance with the conception of the polarization state distance defined on Poincare polarization sphere, the frequency sensibility of the physical structure property of target has been investigated, the frequency distribution feature curves in PSD domain are obtained, and targets'features are extracted by means of the curve-fitting method with Least Square Criterion.

这章具体研究了基于三种极化散射特性描述的相应的目标识别方法：①基于极化参数平面描述的目标识别方法，将目标回波极化状态投影到以极化椭圆参数，即椭圆率角ε和倾角τ表征的极化状态平面上，参数随观测频率的变化就形成了图，根据图的变化特点构造了目标的多维极化特征空间，并提取了不敏感目标姿态变化的极化特征参数组来设计目标的识别器结构；②基于Poincare极化球面描述的目标识别方法，采用Stokes矢量表征目标回波的极化状态，并将其投影到描述极化状态的Poincare极化球面上，定义了极化频率稳定度的概念用以刻画目标回波极化状态在Poincare极化球面上的动态分布信息，提取了准方位不变性的目标极化特征，最后设计了目标的识别器结构；③基于频率敏感性描述的目标识别方法，通过在Poincare极化球面上所定义的极化状态距离的概念，研究的是复杂目标物理结构特性对探测信号频率的敏感程度问题，获得了在极化状态距离下的频率分布特性曲线，采用最小二乘估计曲线拟合方法，它既用于极化特征的降维，同时又直接将拟合参数作为目标的分类特征。

ABSTRACT The dissertation focus on the following aspects of Target Detection and Recognition study:(1) Target detection based on movement information;(2) 3D projective invariants and 3D object recognition;(3) Target recognition based on artificial intelligence .

本学位论文主要围绕目标检测与识别的以下几个方面进行了深入的研究：(1)基于运动信息的目标检测方法；(2)基于射影不变量的3D目标识别方法；(3)基。。。

In chapter 5, in allusion to the shortcoming of the existing high resolution radar target detection algorithm, taking the problem of high resolution radar target detection as the problem of true-false target recognition, and borrowing ideas from the dealing with novelty problem, this paper introduces one-class SVM into high resolution radar true-false target recognition for the first time. That can provide a new idea for solving high resolution radar true-false target recognition problem.

第五章针对现有的高分辨雷达目标检测算法的缺陷，将高分辨雷达目标检测问题等效为真假目标识别问题，并借鉴处理异常值问题的思想，首次将1类支持向量机引入高分辨雷达真假目标识别之中，为解决高分辨雷达真假目标识别问题提供了一条崭新的思路。

与target recognition相关的网络解释 [注：此内容来源于网络，仅供参考]

Fuzzy logic system：模糊推理系统

模糊识别:target recognition by fuzzy logic | 模糊推理系统:Fuzzy logic system | 模糊逻辑推理:Fuzzy Logic Inference

targe point：目标点

target column 目标列 | targe point 目标点 | target recognition 目标识别(辨认)

target recuperability：目标復元性

target recognition chart 目標認定圖 | target recuperability 目標復元性 | target return 目標回波