改进目标识别的新传感器以及其他目标识别和辨别特征。
New sensors for improved target identification; and other target recognition and identification features.
在目标识别中，单个传感器的目标识别性能很有限。
The performance of target recognition is usually limited when using single sensor.
形状是图像中目标的基本内在特性，是用于目标识别的重要特征，因此基于形状的目标识别方法研究具有重要意义。
Shape is the inherence characteristic of an object in the image, and it is the important character used for the object recognition.
从分析侦察手段所处的战场环境入手，将模糊集理论引入单传感器目标识别算法中，提出了基于模糊匹配的单传感器目标识别算法。
The uncertain and its reason of battlefield environment are analyzed. Then Fuzzy Set theory is introduced to the single target identification algorithm.
采用合适的目标识别方法来尽量克服目标和背景产生的畸变，这是目标识别领域的一个难点所在。
Adopting the appropriate method to get over the aberrances of the target and background is one of the difficulties to the object recognition field.
在智能目标识别与跟踪系统中，如何获取较为清晰的图像边缘至关重要，这也是提高系统目标识别率的关键。
During the intelligent recognition and tracing system, how to get clear edge image is very important, it is also the critical factor for higher recognition rate.
介绍了国内外特征提取和目标识别的一般情况，概述了几种目标识别和特征提取的方法，并对其进行筛选。
At the same time, it introduced the common complexion of character distilling and aim identification at home and abroad, and summarized some ways and filtrated for them.
粗糙表面激光回波偏振特性是激光探测、目标识别等领域的一个重要研究内容，它对激光雷达、红外探测和目标识别等遥感设备的优化设计和性能改善有很强的促进作用。
The laser backscattering polarization characteristics of rough surface are investigatedin this paper, it is a fundamental issue to laser detection, target recognition and other fieldsof study.
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。
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.
这种方法可应用于2d目标识别，并可推广应用子3 D目标识别。
It can be used in the 2d object recognition, and extended to 3d object recognition.
结果显示，在积状云和层状云背景中的目标识别较容易，在波状云中的目标识别较难。
Simulation results show that targets can be found more easily in cumulus or stratus than in undulance cloud, because undulance cloud is more abrupt change in its intensity.
对于空间目标识别这个具有挑战性的研究课题，提出了基于二维小波变换的空间目标识别算法。
Regarding the fact that space target recognition is a challenging research problem, this paper proposes a space target recognition algorithm based on the two-dimensional wavelet transform.
目前通过试验证明，基于退化模型的目标识别方法是可行的，并且可望在三维目标识别研究领域占有显著的地位。
And it can be expected to occupy the remarkable position in the research field of three-dimensional target recognition.
在目标识别级重点讨论了基于D - S证据理论的目标识别融合，通过性能分析可知该算法具有不需要先验概率和条件概率密度等优点。
In object identification level object identification fusion based on D-S proof theory was discussed, performance analyzing is found that the arithmetic did not need probability distribution.
高分辨一维距离像是雷达自动目标识别的重要特征之一，它对目标姿态变化很敏感，只有通过进一步处理才能够实现有效的目标识别。
In automatic target recognition of radar, high-resolution range profile (HRRP) is an important feature which is very sensitive to attitude change of the target.
本课题“基于DSP的快速目标识别与跟踪技术研究”的目的就是在DSP技术基础之上，探讨研究一种快速、准确的运动目标识别与跟踪技术。
The subject "Study on fast moving object detect and tracking based on DSP" is focus on the development of fast and accurately detect and tracking moving object based on DSP technique.
提出了基于目标一维平均距离像归一化中心矩的目标识别方法和一种新的基于目标一维散射中心匹配的目标识别方法。
Two methods are presented, one is based on the normalized central moments of one dimensional range profiles, the other is based on one dimensional scattering centers matching.
基于对HRRP空间雷达自动目标识别中冗余噪声匹配的分析，研究了高分辨距离像的特征选择方法，提出了一种基于目标子空间的雷达自动目标识别方法。
This thesis studies the feature selection method of HRRP and proposes a RATR method in target subspace based on the analysis of noise-match in HRRP space.
该系统主要用于红外目标识别领域，它采用了目前流行的SOC技术，对比传统的红外目标识别系统，该系统的硬件结构简单，系统性能有了很大的提高。
It adopts the popular technology of SOC; Compared to the traditional infrared target system, the architecture of system hardware design is simple and the performance of system gains high improvement.
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。
Due to the characteristics of the underwater image, the ATR (automatic target recognition) included image collection, image processing, feature extraction, pattern recognition.
本文研究的雷达目标识别器结合了毫米波(MMW)和LFMCW雷达的优点，课题主要完成了对毫米波lfmcw雷达目标识别器的硬件设计和调试。
This thesis talk about millimeter wave (MMW) and LFMCW, its main mission is design and debug hardware of the radar target processor.
本文紧密结合“973项目”，研究高分辨一维距离像的雷达目标识别问题，提出了两种目标识别方法。
Tightly based on "Project 973", target recognition problems basing on High Resolution Radar Profile (HRRP) are discussed in the thesis, and two novel approaches of target recognition are proposed.
本文紧密结合“973项目”，研究高分辨一维距离像的雷达目标识别问题，提出了两种目标识别方法。
Tightly based on "Project 973", target recognition problems basing on High Resolution Radar Profile (HRRP) are discussed in the thesis, and two novel approaches of target recognition are proposed.
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