The third part is contributed to noise robust in HRRP target recognition.
第三部分，研究了在噪声背景下的HRRP稳健识别问题。
Target detection is the first stage of automatic target recognition (ATR).
目标检测是自动目标识别(atr)的第一个阶段。
The research results can be applied to the passive sonar target recognition.
研究结果可以用于被动声呐目标识别。
The performance of target recognition is usually limited when using single sensor.
在目标识别中，单个传感器的目标识别性能很有限。
Fuzzy integral is an effective decision level fusion method for target recognition.
模糊积分是一种有效的决策层融合目标识别方法。
The radar target recognition method based on the optimal cluster centers is studied.
提出了基于最优聚类中心的一维距离像识别方法。
A target recognition approach to infrared images of remote transmission is presented.
提出了一种远距离传输红外图像的目标识别方法。
Decision templates is an intuitive decision level fusion scheme for target recognition.
决策模板法是一种直观的决策层融合目标识别方法。
An improved BP algorithm has been proposed for realization of multi-target recognition.
为了实现对多目标的识别，提出了一种改进的BP算法。
The problem of feature compression in high-resolution radar target recognition is studied.
研究了宽带高分辨雷达目标识别中的特征压缩问题。
The method for radar target recognition using local integral bispectrum and SVM is proposed.
提出了基于局部积分双谱与SVM的雷达目标识别方法。
So this technology is widely utilized in machine vision, digital camera and target recognition.
因此该技术正广泛地应用于机器视觉、数码相机、目标识别等领域。
For target recognition, millimeter wave sensor and infrared sensor have their own unique advantage.
在目标识别中，毫米波敏感器和红外敏感器有各自独特的优势。
The propeller shaft frequency is one of the important target recognition features for passive sonar.
螺旋桨轴频是被动声纳极其重要的目标识别特征之一。
New sensors for improved target identification; and other target recognition and identification features.
改进目标识别的新传感器以及其他目标识别和辨别特征。
The result demonstrates the feasibility of using recurrent neural networks for aircraft target recognition.
实验结果表明，递归神经网络用于飞机目标识别是有效可行的。
In radar target recognition research, it is very important to obtain effective radar target signature signal.
在雷达目标识别研究中，获取有效的雷达目标特征信号非常重要。
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。
Joint target detection and classification scheme for radar non-cooperative target recognition (NCTR) was proposed.
提出一种雷达识别非合作目标的检测和分类一体化方案。
This thesis mainly investigates the methods of radar target recognition based on High Range Resolution Profile (HRRP).
本文主要对高分辨距离像雷达目标识别方法进行了研究和探索。
Target Intelligent Recognition (TIR) of the low-resolution radar has been a difficulty in radar target recognition field.
低分辨雷达目标智能识别一直是雷达目标识别研究领域的难点。
In recent years, some progresses have been obtained in the main research aspects for radar target recognition techniques.
近年来，在雷达目标识别技术的几个主要研究方面已取得若干进展。
Accurate segmentation of targets on complex background is one of the key techniques in Automatic target Recognition (ATR).
复杂背景下目标的准确分割是自动目标识别中的关键技术之一。
The image sampling system that has target recognition function is described. The data is transferred by the USB interface chips.
介绍了一种有目标识别功能的图像采集系统，用usb接口芯片实现了数据的传输。
The experimental result shows that the algorithm has valuable application in target recognition of the precision guidance weapon.
实验结果表明：这种方法对精确制导武器的目标识别具有较高的实用价值。
Radar target recognition utilizes the information of tracking, polarizing, JEM, range image and ISAR to perform target recognition.
雷达目标识别含利用跟踪信息、极化信息及通过JEM、距离像和ISAR进行识别。
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。
Target recognition is an important component of data fusion technology and also be a key problem in military affairs research field.
目标识别是数据融合技术的一个重要组成部分，也是军事技术研究领域中的一个重要课题。
This research provides tasks such as remote sensing image processing and target recognition with pre-knowledge of background clutters.
该研究为遥感图像处理及目标识别等任务提供了背景杂波的先验知识。
The validity of this method is proven by testing lots of common data sets and practical application in radar target recognition system.
通过对大量公用数据集的测试以及在实际的雷达目标识别系统中应用，方法有效性得到了证明。
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