It's significant to the small target extraction.
这对小目标提取显然有着重大的意义。
Finally, the weighted average of all the particles was used as target extraction threshold.
最后，以粒子的加权平均估计目标提取的阈值。
This paper studies the technology of the wide-area scene mosaics and the target extraction based on the video image sequences.
本文研究了基于视频图像序列的广域场景自动拼接技术，以及视频图像序列目标提取技术。
To decrease the calculation of target extraction, segmented images are identified by the algorithm of Run-long code region identification.
为了减少后续目标提取的计算量，对分割后的图像采用了跑长码区域标记算法进行了标识。
Then, on the basis of this method, an adaptive target extraction method based on the normal distribution of the local energy of a target is proposed.
在此基础上提出了一种基于目标局部能量正态分布的自适应目标提取方法。
A target extraction algorithm based on the background segmentation technology was proposed in this paper for the water surface moving targets in the complex background.
基于背景分割技术提出了一种复杂背景下水面运动目标提取算法。
Furthermore, an robust algorithm which is based on generalized multiscale fractal parameter is proposed for the small target extraction on ocean with good noise immunity.
进一步，基于广义多尺度分形参数，本文提出了一种具有抗噪性能的稳健的目标提取算法，并用于海上小目标的提取。
The experiments demonstrate that the platform is much easier than the former DSP platform for fulfilling the real-time requirement in carrying out complicated algorithm and multi-target extraction.
实验证明，该平台在进行复杂算法和多目标提取方面比以前的DSP平台更容易满足实时性要求。
This paper presents an algorithm for target image extraction and high precious target centroid tracking in complex environment.
本文介绍一种复杂背景中目标图像的提取与高精度目标形心跟踪算法。
The key step of automatic classification is the extraction of target features.
目标的识别与分类的关键是提取有效的目标类别特征。
The recognition of underwater laser target is a new disquisitive field, in which many problems are open, and extraction is the key problem.
激光水下目标的识别是一个崭新的研究领域，有许多问题亟待解决，其中目标提取问题是关键。
The edge extraction method not only extracts the outline of the target, but also keeps the inner details, thus the optimum matching position found by template matching becomes more reliable.
文中的边界提取方法不仅能提取出目标的轮廓，还能较好地保留其内部细节，这样通过模板匹配得到的最佳匹配位置更加可靠。
Therefore, it is a potential method for the extraction and purification of target products.
因此，是一种很有前景的提取和分离目标产物的方法。
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。
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呐目标识别系统的关键技术。
So, the detection and extraction of signals reflected by the target are difficulties and the key technology of passive tracking location.
因此，目标反射信号的检测和提取是个难点，也是无源探测定位的关键技术之一。
Feature extraction of targets radiated noise and design of targets classifier are key issues 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。
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。
The target feature extraction about high resolution radar video echo is studied in this paper.
本文着重研究基于高分辨率雷达视频回波的目标特征提取问题。
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。
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。
The result can meet engineering precision requirement and can be used for the target optical signature extraction, recognition and classification.
计算结果可用于目标特征提取、识别和分类，满足工程精度需求。
Feature point extraction and tracking method is an important contents to studying imaging-based target tracking, and avails to the research on target identification, maneuver detection and so on.
特征点的提取和跟踪是基于图像的目标跟踪技术研究中的一项重要内容，对目标识别、机动检测等有着重要意义。
The method of radar target waveform feature extraction is studied based on non coherent radar target echo.
研究了一种基于非相参雷达目标回波的特征提取算法。
This method can avoid extraction of target poles, and the simulation results show that it has a better effect on recognition, a simple algorithm, and an easy implementation.
该方法避免了对目标极点的提取，仿真结果表明有较好的识别效果，且算法简明，易于实现。
The results can be applied to the extraction of poles and the identification of some target from the real sonar echo.
本文的结果可供在实际声呐波回波中提取极点，进而实现目标识别时参考。
Methods of feature extraction and classification of target in model-based SAR ATR using feature are studied systemically in this paper.
本文系统研究了利用特征基于模型SARA TR系统中，SAR图像目标特征提取方法和分类方法。
The influences of the biological matrix on selectively extraction of the target analytes and the strategies for increasing the extractivity were studied.
研究了生物基质对有效萃取目标检测物的影响及提高萃取率的途径。
The influences of the biological matrix on selectively extraction of the target analytes and the strategies for increasing the extractivity were studied.
研究了生物基质对有效萃取目标检测物的影响及提高萃取率的途径。
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