| 基于三角形匹配的空间小目标检测算法 |
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| 引用本文： | 韩艳丽,刘峰.基于三角形匹配的空间小目标检测算法[J].红外与激光工程,2014,43(9):3134-3140. |
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| 作者姓名： | 韩艳丽 刘峰 |
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| 作者单位： | 1.海军航空工程学院控制工程系,山东烟台264001; |
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| 基金项目： | 国家自然科学基金(51005242) |
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| 摘 要： | 由于天基平台拍摄天空图片时，背景和相机同时发生相对运动，造成相邻帧之间无法通过简单的帧差法得到运动的小目标,造成了空间目标检测的难度。在分析星空图像模型的基础上，提出了一种提取特征点组成匹配三角形的图像配准方法。首先对图像进行预处理，通过最优阈值的选取对单帧图像进行分割，去除背景噪声。将星点按面积大小划分，对符合条件的星点组成特征三角形并在相邻帧中进行匹配得到运动参数。在配准时为了减小计算量，忽略背景插值只针对星点坐标矩阵进行处理。最后通过多帧轨迹关联检测出目标的运动轨迹。仿真实验表明，在运动的序列图像中，该方法能实现高检测率和低虚警率的实时检测。
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| 关 键 词： | 目标检测 最优阈值 图像配准 轨迹关联 空间目标 |
| 收稿时间： | 2014-01-05 |
Small targets detection algorithm based on triangle match space |
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| Affiliation: | 1.Department Control Engineering,Naval Aeronautical and Astronautical University,Yantai 264001,China;2.Postgraduate Training Brigade,Naval Aeronautical and Astronautical University,Yantai 264001,China |
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| Abstract: | While the star images were pictured by space-based platform, there was a simultaneous relative motion between the background and the camera. The moving small object cannot be obtained through simple frame difference between adjacent frames. Thus, it was difficult to had the space object inspection. Based on the analysis of star image model, proposes an image registration method via extracting feature points and then matching the triangle. Firstly, it was the pretreatment of the images, which was to had a single-frame image segmentation from the selection of optimal thresholds, in order to remove the background noise. Then, divide the stars according to area sizes. For those eligible stars, make the feature triangles, and acquire the parameters from the matching in the adjacent frames. In order to minimize the calculation, the ignorance of the background interpolation was only applied to star coordinate matrices. Finally, detect the moving trace of the object according to multiple-frame connection. As the simulation experiments indicate, in the sequence images, the method can real time inspection in a high detection rate and a low false alarm rate. |
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