The target feature extraction about high resolution radar video echo is studied in this paper.
本文着重研究基于高分辨率雷达视频回波的目标特征提取问题。
The numerical results show that it is feasible to use CLSAR for 3-d radar target feature extraction.
模拟结果表明，应用CLSAR实现雷达目标的三维特征提取是可行的。
Target feature extraction plays an important role in the depth bomb fuze system, because it is a key point that ensures the fuze system of successfully recognizing target.
目标特征提取技术是深弹近炸引信系统中的一个重要功能模块，是引信系统成功识别目标的关键。
Feature extraction of targets radiated noise and design of targets classifier are key technique of passive sonar target recognition system.
目标噪声特征提取和目标分类器设计是被动声呐目标识别系统的关键技术。
Feature extraction of targets radiated noise and design of targets classifier are key issues of passive sonar target recognition system.
目标噪声特征提取和目标分类器设计是被动声纳目标识别系统的关键技术。
Feature extraction of targets radiated-noise is the key technique of passive sonar target recognition system.
目标噪声特征提取是被动声纳目标识别系统的关键技术。
The techniques of feature extraction, feature selection and design of classifier for passive sonar target recognition are reviewed.
文章对被动声纳目标识别的特征提取、特征选择和分类器设计方面进行了回顾。
Feature extraction is one of key steps in underwater target classification system, to obtain some discriminatory information of various kinds of underwater targets.
特征提取是水声目标分类的关键环节之一，用以获取各类目标的一些可鉴别性特征。
The method of radar target waveform feature extraction is studied based on non coherent radar target echo.
研究了一种基于非相参雷达目标回波的特征提取算法。
To make full use of the feature information of signals in feature extraction for target recognition and classification, this paper discusses establishment and feature compression of raw feature space.
为在特征提取中充分利用目标信号的特征信息，对原始特征空间的建立和特征压缩的过程进行了讨论。
Feature point extraction and tracking method is an important contents to studying imaging-based target tracking, and avails to the research on target identification, maneuver detection and so on.
特征点的提取和跟踪是基于图像的目标跟踪技术研究中的一项重要内容，对目标识别、机动检测等有着重要意义。
We propose a multistage SAR target recognition process based on target detection, target segmentation, target aspect estimation and invariant feature extraction.
提出一种以目标检测、目标分割、目标方位角估计和目标不变性特征提取为线索的SAR目标识别框架。
Methods of feature extraction and classification of target in model-based SAR ATR using feature are studied systemically in this paper.
本文系统研究了利用特征基于模型SARA TR系统中，SAR图像目标特征提取方法和分类方法。
A gait recognition system consists of three primary parts: moving target detection, feature extraction and gait recognition.
它的研究主要由三部分构成：运动目标检测、特征提取和步态识别。
By studying the principle of hearing system in identification of sound signal, a method of feature extraction for passive sonar target based on critical band spectrum energy is proposed.
利用被动声纳目标辐射噪声特征主要集中在低频部分的特点，结合听觉系统识别声音信号的原理，提出了一种被动声纳目标临界频带频谱能量的特征提取方法。
This thesis mainly deals with the feature extraction technologies in infrared image and target multi-classification methods.
本文重点研究了红外图像目标的特征提取技术和多目标分类方法。
Secondly, the method of region feature extraction and optimal feature selection are studied based on PCA, and the effective features are constructed for the target by the analysis of the PCA.
其次，本文研究了区域形状特征提取及基于PCA的特征选择方法，通过对区域特征进行优化选择，构造准确描述目标特性且维数较低的特征。
Due to the characteristics of the underwater image, the ATR (automatic target recognition) included image collection, image processing, feature extraction, pattern recognition.
根据水下图像的特点，目标识别系统包括：图像采集，图像处理，图像特征提取，根据特征进行目标识别。
The process of this system includes four phases: the prospects for segmentation, target detection, feature extraction and classification models.
该系统的处理过程主要包括四个阶段：前景分割、目标检测、特征提取和车型分类。
Feature extraction builds up the basis of target classification and recognition.
特征提取是目标分类和识别的基础。
Then, the feature extraction and target recognition algorithm are studied.
然后，研究了图像特征提取和目标识别算法。
The dimension of data can be reduced by feature extraction, and more meaning data about target can be got by feature extraction, which make target classification more exactly and effectively.
特征提取可以降低数据空间的维数，挖掘出能更有效的代表目标信息的数据，从而使目标的分类更加准确有效。
A new feature extraction method of local grey level of target and an auto target detection algorithm adapting for engineering computation are designed.
设计了新的目标局部灰度特征提取方法和适合工程计算的自动目标检测算法。
Field parcel image consists of multiple target regions where different field objects are always interfered each other, so segmentation and feature extraction of field parcel image are very diffcult.
农田地块图像包含的目标区域多、不同地物间信息相互影响和干扰明显，因此农田地块图像的分割提取非常困难。
This paper investigates the segmentation of multi-target image based on SVM approach combining feature extraction of kernel PCA.
实验结果表明，结合核主成份分析的特征提取，支持向量机方法是一种很有前景的多目标图像分割技术。
In gait recognition, effective extraction of human contour is a prerequisite of subsequent processing including feature extraction, feature expression, target classification and target recognition.
在步态识别中，完整的人体轮廓是特征提取、特征表达、目标分类与目标识别等后期处理的前提条件。
In gait recognition, effective extraction of human contour is a prerequisite of subsequent processing including feature extraction, feature expression, target classification and target recognition.
在步态识别中，完整的人体轮廓是特征提取、特征表达、目标分类与目标识别等后期处理的前提条件。
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