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。
应用推荐