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。
It is an effective method to use the invariant moment features for target recognition.
利用图像的不变矩特征进行目标识别是一种有效的方法。
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。
Image fusion applied for target recognition should be modeling for each different task.
面向目标识别的图像融合需依据不同的目标任务建立不同的融合模型。
In the field of image processing, target segmentation is necessary for target recognition.
在图象处理领域中目标分割是目标识别过程中一项必不可少的工作。
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。
In high frequency region, the radar range profiles are chosen as feature vectors for target recognition.
高分辨距离象是高频区雷达目标识别的最基本的依据。
The segmentation of SAR target chip image is an important process for target recognition based on SAR image.
SAR目标切片图像分割是基于SAR图像目标识别的一个重要步骤。
The methods for target recognition and tracking in complicated background based on the IR bridge image are described.
文中以实时采集到的桥梁红外图像为基础，探讨了复杂背景中桥梁的识别跟踪方法。
In general, the target direction infrared radiation intensity chart is one of the important characteristics for target recognition.
一般来说，目标的红外辐射强度方向图是用于目标识别的重要特征之一。
The proposed algorithms are used for target recognition of MMW detector and the experimental results indicate their good performance.
将本文所改进的算法应用于毫米波探测器目标识别，实验结果证明了算法的优越性能。
The polarization property provides more optical information for remote sensing, which is an effective and reliable method for target recognition.
所获取的偏振特性可为偏振遥感提供更多的光学信息。
Using the subimage of an unknown target as feature vector and minimum distance rule for target recognition, experiments on simulated data are done.
对未知目标，以其子像对库矢量的欧氏距离最小为分类准则，进行了识别模拟实验。
By rotating the symmetry axis of a target into a defined orientation, it is efficient for target recognition to use the feature area distribution as a parameter.
确定了物体对称轴的取向后，可使用坐标变换方法，将轴对称物体的对称轴旋转到某一特定的取向，便于使用特征面积分布作为特征参数进行快速的目标分类识。
A fuzzy counter propagation neural network (FCPN) based data fusion approach and a modified fuzzy counter propagation neural network (MFCPN) fusion architecture are proposed for target recognition.
针对数据融合和目标识别的特点，提出了基于模糊对向传播网络的融合目标识别方法和改进的模糊对向传播网络(MFCPN)融合结构。
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。
Most regulations have significant leeway built-in, often in recognition that organizations have different purposes requiring different target levels for compliance.
大多数法规有很大的活动余地，常常公认的是，组织有需要不同的目标法规遵循等级的不同目的。
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。
ILAC agreement on mutual recognition, products for the realization of "a testing global recognition" the target laid a foundation.
ILAC互认协议，为实现产品“一次检测全球承认”的目标奠定了基础。
There is not any ripe theory for air target type recognition.
而对空中目标类型的识别还没有成熟的理论。
The key techniques system features and promise of applications for automatic target recognition based on the fractal techniques are discussed then.
介绍以分形技术为核心的自动目标识别系统的技术关键、系统性能和系统的应用前景；
Recognition algorithms for small moving target in strong noise based on single feature has a high false alarm. Sometimes the features of target and noise are very alike.
利用单个特征识别强噪声中的弱小运动目标，常因所提取的目标特征与噪声特征易混淆而导致高的虚警率。
This paper based on TV guidance studies image automatic target recognition for TV seeker, and offers theoretical preparation and technology support to the development of weapon system.
本文以电视制导为背景，研究了用于导引头的图像目标自动识别技术，为武器系统的研制与试验提供理论准备与技术支持。
The transient signal collecting system which is constructed in the paper supplies convenience for the research of the target recognition of millimeter radar.
论文中完成的瞬态信号采集系统为开展毫米波雷达目标识别的研究工作提供了便利。
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。
Based on this method, an experimental system for ship target recognition is implemented.
基于本方法，一种实验性的船目标识别系统已经构成并运行。
DEMON analysis is one of the most important means for underwater target recognition.
DEMON分析是舰船噪声目标识别的重要分析手段之一。
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。
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。
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。
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