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。
A localization and object tracking approach based on statistical operators and graph searching algorithms is presented for a team of robots localized with heterogeneous sensors.
以统计的操作员和曲线图搜索运算法则为基础的一个局限和物体追踪方式为与异种的感应器一起本土化的一队机械手被呈现。
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。
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