图像配准在缓动弱小空间目标检测中的应用  

Application of Image Registration in Detection of Slow Small Space Target

作　　者：韩建涛[1] 任艳[1] 董文娟[1] 陈曾平[1] 

机构地区：[1]国防科学技术大学ATR国防科技重点实验室,长沙410073

出　　处：《光电工程》2009年第9期12-16,共5页Opto-Electronic Engineering

基　　金：国家863项目资助

摘　　要：在固定大视场光电探测系统图像中,远距离空间目标运动角速度慢、星像小,难以从众多恒星星像中有效检测到。针对上述问题,提出了一种基于恒星配准后差分相乘的缓动弱小空间目标检测算法,首先在空域上利用形态学Top-hat滤波抑制背景增强目标,然后在时域上将恒星配准后差分相乘增强缓动弱小空间目标,最后经自适应门限分割与航迹关联进行目标确认。实测结果表明,算法全面考虑了缓动弱小空间目标在时域及空域方面的特性,能有效地从复杂背景中检测到低信噪比缓动弱小目标,并满足实时性的要求。In optoelectronic images of fixed large visual field, the angular velocity of space target in long distance is slow and its image is small, which make it difficult to be detected among so many stellar images. In order to solve this problem, a detecting method for slow small target is put forward based on time-space difference fusion after stellar image registration. In this method, the morphological Top-hat operator is adopted firstly in space domain to suppress the background and enhance the target. Then, the stellar registration and difference fusion are done in time domain to enhance the moving target. Finally, the target can be confirmed through the adaptive segmentation and track correlation. The test result shows that by considering the target＇s characteristic in time and space domain, the method mentioned above can effectively detect the slow small target with low Signal-to-noise Ratio （SNR） in complicated background and own good real-time performance.

关 键 词：图像配准 缓动目标 形态学滤波 时空域融合 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]