• It is one of the important methods of pattern recognition to apply neural networks to target classification.

    应用人工神经网络进行目标识别是当前模式识别的重要方法之一。

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  • Feature selection is an important process in a target classification program and directly affects the design and performance of the classifier.

    特征选择是目标分类的一项重要步骤,直接影响到分类器的设计和性能。

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  • Finally the target classification and identification are studied.

    最后研究了水下目标的分类识别问题。

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  • A method for target classification and identification is introduced.

    介绍了一种目标分类和识别的方法。

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  • A method of target classification based on JEM periodic signature is proposed.

    提出了基于JEM周期特征的目标分类方法。

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  • 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。

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  • The software can provide the efficient data support for target classification and recognition.

    该软件可以为目标分类识别提供有效的数据支持。

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  • This paper applies target decomposition theory to high resolution polarization target classification.

    尝试将目标分解算法用于高分辨率极化目标的识别。

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  • This paper presents a new approach to radar target classification based on one-dimensional scattering centers matching.

    本文提出了一种新的基于目标一维散射中心匹配的雷达目标识别方法。

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  • Spectrum analysis is the most important branch in radar signal processing and significant of radar target classification and feature detection.

    谱分析是雷达信号处理的重要组成部分,对目标分类、特征检测均有重要意义。

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  • The combined method can improve the adjustability of azimuth estimation, and then can facilitate target classification and recognition effectively.

    方位角联合估计方法有利于增强目标方位角估计的适应性,提高目标分类和识别的效率。

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  • The main motive of this thesis is to investigate target classification of HF over-the-horizon (OTH) radar based on multiple frequency feature and poles.

    本文主要研究基于多频和极点特征的高频超视距雷达目标识别方法。

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  • 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。

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  • In classification stage, five kernel-based classifications are used and compared, and fusion methods are designed for wide-band polarimetric radar target classification.

    在分类器设计环节,比较五种核非线性分类器,并根据宽带极化雷达目标散射数据的特点,使用融合分类的方法对目标进行分类。

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  • The selection of the reference image in azimuth interval is discussed, and the influence of the alignment on template training and target classification is discussed too.

    分析了方位区间中基准图像的选取及对准过程对模板生成和目标分类的影响程度。

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  • Cherryholmes analyzes the structural characters of Taylor principle, Schwab's "practice 4", Bloom's education target classification and Bruner's subject structure theory.

    切瑞霍尔姆斯分析了泰勒原理、施瓦布的“实践4”、布卢姆的目标分类学以及布鲁纳的学科结构理论当中的结构性特征。

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  • The wavelet neural network is applied in target identification of step frequency MMW radar. The results of experiment indicate that the method is valuable for target classification.

    将所提出的小波神经网络用于毫米波频率步进雷达目标一维距离像识别。

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  • Algorithm of target classification based on polarization synthesis is proposed, when it is acted as input value of classifier. Then, polarimetric SAR data is applied to classification experiment.

    将其作为分类器的输入特征量,提出了一种基于极化合成的目标分类算法,并对实测极化SAR数据进行了分类实验。

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  • 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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  • 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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