Based on analyzing bridge and background feature in the SAR images, a new detection method combined statistical property with knowledge of bridge object is presented in this paper.
针对SAR图像中桥梁目标的特性，提出了一种基于统计特性和先验知识相结合的桥梁目标检测方法。
The object modeling is mainly summarized and analysized, then the feature selection, statistical model of feature and similarity measuring are described.
对目标建模技术进行了综述和分析，分别从特征选择、特征的统计建模和相似性度量三个方面进行了阐述。
Finally we propose statistical classification based object detecting method, and realize the PCA based object detecting system. The system is experimented and achieves satisfactory results.
最后提出了基于统计分类的目标检测方法，并实现了基于主成分分析的目标识别系统，实验取得了比较理想的结果。
Currently, the commonly used management system is a closed, single subsystem, control theory does not fully describe the controlled object type of statistical control is not specific;
目前，市场上常用的管理系统是一个封闭、单一的子系统，控制原理描述不全面，受控对象控制种类统计不具体；
In this paper, we present an efficient statistical algorithm for extracting verb-object collocations in Chinese in which three statistical features are combined.
本文在分析搭配性质的基础上提出了一个基于统计的动宾搭配自动识别的算法。
For Inter-MB, a temporally statistical modal with regard to vector angle was established and the moving object was detected by using the neyman-pearson criteria.
然后建立时域上关于搜索块与参考块之间运动矢量夹角的概率模型，对于帧间预测宏块通过聂曼一皮尔迅准则进行运动判决。
For Inter-MB, a temporally statistical modal with regard to vector angle was established and the moving object was detected by using the neyman-pearson criteria.
然后建立时域上关于搜索块与参考块之间运动矢量夹角的概率模型，对于帧间预测宏块通过聂曼一皮尔迅准则进行运动判决。
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