【摘要】 提出一种基于混沌特性的红外云背景图像预测算法,在分析云背景红外图像空间分布上存在混沌现象的基础上,引入Volterra级数对云背景进行混沌预测.仿真结果表明,该算法对云背景杂波具有良好的抑制效果,能有效地提高云背景的预测精度,预测残差符合白噪声特性,显著提高目标的信杂比,从而改善目标的检测性能.更多还原

【Abstract】 Background prediction is one of the main background suppression methods for target detection.A novel algorithm of background prediction based on the chaotic character of the clutter cloud is presented in this paper.It is realized that the cloud background of IR image has the chaos character in space,and the Volterra adaptive filter can be introduced to forecast the clutter background.Simulation results show that the proposed algorithm has good effect on cloud background suppression and the residues have white noise characteristics.It also improves the forecast accuracy of the clouds background and obviously increases the signal-to-clutter ratio(SCR).更多还原