基于关键点分布的栅格状雷达检测

Grid-like radar detection based on the distribution of key points

栅格状雷达在军事上已得到了广泛应用,对其的检测具有重大的意义.为此提出了一种栅格状雷达检测算法,该算法能处理具有严重形状变化的栅格状雷达物体.首先将十字关键点当作小物体,利用传统的滑动窗口法检测出来;然后依据检测出的十字关键点分布密度来定位出栅格状雷达疑似区域;最后利用疑似区域内的关键点分布位置来判断图像中是否含有栅格状雷达.在一个包含42张栅格状雷达图像和154张非栅格状雷达图像的数据集中进行实验,得到7.1%的漏检率和12.3%的误检率.基于关键点分布的栅格状雷达检测算法较传统目标检测算法具有更好的鲁棒性,能适应由雷达种类、变形及视角变化等引起的物体形状变化,与经典算法"BOF+SIFT"和"HOG"相比,具有更好的性能.

Grid-like radars have been widely used for military applications,and their detection is of great importance.A novel method is proposed to detect grid-like radars even with large appearance variation.In our method,the key points of grid-like radars are first treated as small objects and detected by the classical sliding window method.Then a possible radar area is located based on the distribution density of the detected key points.Finally the decision regarding the presence/absence of grid-like radars will be made based on the spatial distribution relation of the detected key points.Experiments were done on our dataset,including 42grid-like radar images and 154non-radar images,and our approach achieved a 7.1% miss rate and 12.3FPR(false positive rate).The method based on the distributions of key points is more robustagainst the appearance variation caused by the types of radar,deformations and viewpoint changes,and demonstrates better performance than classical method,such as'BOF+SIFT'and'HOG'.