改进的分形检测海面漂浮小目标方法

摘要

In order to improve the detection probability of weak targets floating on the sea clutter, an im-proved target detection method based on fractal is proposed. First,fractal dimension of sea clutter is calculat-ed through de-trended fluctuation analysis method. Secondly,two-dimensional decision space is formed with its byproduct———intercept. Finally,small target floating on the sea clutter can be detected through cluster a-nalysis. The improved algorithm is verified by real-live sea clutter data. Experiment results indicate that there are apparent differences between sea clutter and small target in decision space. The improved algorithm can increase the detection probability,compared with the Hurst method,neural network ensemble prediction method and other methods. Detection effect of the cross-polarization( Horizontal-Vertical,Vertical-Horizon-tal) is better than that of the same polarization( Horizontal-Horizontal,Vertical-Vertical) .%为了提高海杂波中漂浮小目标的检测概率，提出了一种改进的分形检测海面漂浮小目标方法。首先，利用去趋势波动分析方法计算海杂波的分形维数；其次，利用计算过程中的“副产品”———截距组成二维判决空间；最后，通过聚类分析，检测出海杂波中的漂浮小目标。在实测数据基础上对改进算法进行了验证，结果表明：海杂波和小目标在判决空间存在明显的差异性；与Hurst指数法、神经网络集成预测法等方法比较，改进算法提高了目标检测概率；交叉极化方式( HV、VH)的检测效果优于同极化方式( HH、VV)的检测效果。