摘要

针对序列星空图像极大似然估计方法检测非线性运动弱小目标效果较差的问题,提出了一种基于非线性极大似然检测的弱小目标检测方法。首先对目标的运动方程进行泰勒展开,然后以一定的阶次的方程仿真目标在星图上的运动,并通过序列图像在非线性空间解算目标运动的非线性参数,获得目标的运动方程。最后通过归一化斑点检测算子对结果图像中的目标进行检测。实验结果表明在目标信噪比低于2且进行非线性运动时,提出的方法检测目标效果较好。

Abstract

Aiming at the problem that the maximum likelihood estimation method for detecting nonlinear moving objects is inefficient, a small target detection method based on nonlinear maximum likelihood detection is proposed. First, the motion equation of the target is expanded by Taylor. Then the motion of the target on the star map is simulated by a certain order equation, and the motion equation of the target is obtained through solving the nonlinear parameters of the target motion in nonlinear space through sequential images. Finally, the target in the result image is detected by the normalized speckle detection operator. The experimental results show that the the target can be detected when the signal-to-noise ratio of the target is less than 2.

补充资料

中图分类号：TP391

所属栏目：光电测量

基金项目：国家重点基础研究发展计划(2013CB733100) 资助项目

收稿日期：2018-06-08

修改稿日期：2018-09-13

网络出版日期：--

作者单位    点击查看

联系人作者：侯旺(Simon_Zero@126.com)

备注：侯旺(1985-),男 ,博士,工程师,主要从事弱小目标检测、信号处理方面的研究工作。

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引用该论文

HOU Wang,MEI Feng-hua. Small Target Detection Method Based on Maximum Likelihood Estimation[J]. OPTICS & OPTOELECTRONIC TECHNOLOGY, 2019, 17(1): 42-50

侯 旺,梅风华. 基于非线性极大似然检测的弱小目标检测方法[J]. 光学与光电技术, 2019, 17(1): 42-50