本文研究了雷达目标识别过程中关于目标的编码、分类特征的提取与选择等问题。
A new method for extracting radar target pole features from its RCS is presented in this paper.
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。
The techniques of feature extraction, feature selection and design of classifier for passive sonar target recognition are reviewed.
该文详细讨论了基于HRRP的雷达自动目标识别的关键技术及研究现状，包括雷达hrrp的特性、预处理方法、特征提取方法及分类器设计方法等。
In this paper, we review the present research status and some key techniques in this field, including the property of HRRP, preprocessing methods, feature extraction and classifier design.
根据舰船轴频电场信号的特点，提出了基于小波变换和神经网络的目标识别和分类方法。
According to the characteristic of shaft-rate electric field of ships, the recognition and classification methods of ship targets based on wavelet transform and neural network were proposed.
矩不变量在图像进行平移、旋转和尺度变换时保持定值，因此被广泛使用在目标识别、图像分类、图像压缩和场景匹配等各种领域。
The invariable moment, which is invariable to the translation, scaling and rotation of image, is widely used in object recognition, image classification, image condensation, scene matching and so on.
然后，以特征系数作为识别特征量，采用最小距离分类法，实现了自动目标识别。
Then, the feature coefficients are classified by the minimum distance criterion to recognize the target automatically.
目标识别技术属于模式识别理论的研究范围，其关键在于特征提取和分类器的设计。
The target identification technology belongs to the research scope of the pattern recognition, its key lies in the characteristic withdraw and the sorter design.
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 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纳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.
针对空战目标识别中机型识别这一问题，提出了基于多分类器融合的识别方法。
Aiming at aircraft type recognition in the field of automatic target recognition, a method based on combining classifiers is proposed.
为了验证特征的有效性，使用最近邻及概率神经网络分类器进行了目标识别，得到满意的识别率。
In order to validate character validity, use NearestNeighbor (NN) and probabilistic neural network (PNN) classification identify target, gain content identification probability.
设计了一种用于遥感图像目标识别的粒子群分类算法。
The particle swarm classifier is designed for radar target recognition in remote images.
针对高分辨率遥感图像舰船目标识别问题，提出了一种基于支持向量机的舰船目标分类方法。
Aiming at recognizing ship target in high resolution satellite images, a classification method based on Support Vector Machine (SVM) is proposed.
针对SAR图像解译，SVM在图像滤波、图像分割、目标识别与分类、极化数据分类等过程中有很好的处理能力。
Aimed at SAR image interpretation, SVM shows good performance in image filtering, image segmentation, target discrimination and classification, as well as polarimetric SAR data classification.
通过对大量实船噪声样本进行实验分析表明，该方法可以提高对水中目标识别分类结果。
Experiments on large Numbers of actual ship "s radiated noise samples indicate that this method may improve the result of underwater targets recognition and classification."
而利用高分辨率雷达回波进行目标识别可以对群目标进行精确的目标分类和型号识别等。
And we can classify and recognize the group targets precisely with high range resolution Radar echo.
其次进行了基于模糊综合评价方法的分布式多雷达系统目标识别的应用研究和模式分类实验。
The fuzzy synthetical evaluation method is put forward, and the target identification for distributed radar systems by applying fuzzy synthetical evaluation method is studied.
对于逆合成孔径雷达(ISAR)而言，多径效应会在ISAR的二维目标重建像上引入两个伪像，这将会影响雷达的目标识别与分类。
For inverse synthetic aperture radar (ISAR), the multipath effects introduce two artifacts in its reconstructed images, which greatly hinders radar target recognition and classification.
极化特性是电磁波的四大特性之一，通过对目标极化特性特别是最优极化特性的分析，将为雷达目标识别和分类研究提供更全面的方法和工具。
Polarization is an important characteristic of electromagnetic wave. It, especially the optimal polarization, can provide a comprehensive method for the target identification and classification.
通过样本采集、特征抽取、支持向量机训练得到最终的人体目标识别分类器。
Human objects recognition classifier is obtained through samples collecting, feature abstract and SVM training.
结果表明，多特征信息融合的目标识别方法具有良好的稳定性，准确性和可靠性，能够有效地提高图象分类识别系统的精确度与容错性。
The final results indicate that the Multi-feature fusion method is stable, reliable, and can efficiently improve the accuracy and the ability of fault tolerance.
给出了一个基于飞机目标回波波形对机群目标进行分类识别的低分辨雷达目标识别系统例子。
This paper gives an example of echo-shape based ATR system of the low-resolution radar.
提出用散射点参数作为识别特征，用隐马尔可夫模型（HMM）作分类器的雷达目标识别方法。
We contribute to automatic target recognition (ATR) by a hidden Markov model (HMM) based classifier, with parameters of scattering centers.
最后提出了基于统计分类的目标检测方法，并实现了基于主成分分析的目标识别系统，实验取得了比较理想的结果。
Finally we propose statistical classification based object detecting method, and realize the PCA based object detecting system. The system is experimented and achieves satisfactory results.
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.
通过对大量实船噪声样本进行实验分析表明，该方法可以提高对水中目标识别分类结果。
Experiments on large Numbers of actual ship's radiated noise samples indicate that this method may improve the result of...
通过对大量实船噪声样本进行实验分析表明，该方法可以提高对水中目标识别分类结果。
Experiments on large Numbers of actual ship's radiated noise samples indicate that this method may improve the result of...
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