基于活跃熵的序列图像脆弱性增强仿真

Simulation of Sequence Image Vulnerability Enhancement Based on Active Entropy

针对传统序列图像未对相邻脉冲图像进行精确对准,导致序列图像脆弱性的增强效果较差等问题,提出基于活跃熵的序列图像脆弱性增强模拟方法。利用对均匀运动目标多个相邻脉冲的时延时间伸缩分布图的特征提取,获取序列图像的运动参数;通过传统的相关成像原理获取到目标散射点的时延时间分布像,将时延伸缩分布像转换为序列图像的几何像;再通过图像熵技术对多个相邻脉冲图像进行精确对准,以达到序列图像脆弱性增强的目的。为了验证序列图像增强效果进行仿真,充分验证了所提方法的实用性以及优势。

In traditional sequence images,the adjacent pulse images are not precisely aligned.Therefore,this article presented a simulation method to enhance sequence image vulnerability based on active entropy.At first,the motion parameters of sequence image were obtained by extracting the features of time-delay stretching distribution of adjacent pulses of uniform moving target.And then,the delay time distribution image of target scattering point was obtained by the traditional imaging principle.The image of time-delay stretching distribution was converted into a geometric image of sequence image.Moreover,the image entropy technique was used to accurately align with multiple adjacent pulse images,so as to achieve the enhancement of vulnerability in sequence image.In order to verify the en?hancement effect of sequence image,the practicality and advantages of the proposed method are fully proved by simulation.