在对当前景象匹配技术应用现状的研究基础上,针对其中的强干扰景象匹配技术,尤其是烟雾干扰下的实时图滤波技术进行阐述.烟雾干扰是造成实时图模糊不清的主要原因,致使景象匹配系统不能发挥其应有的作战效能,甚至造成误匹配.首先分析了烟雾干扰对景象匹配系统特别是实时图滤波的影响,并研究了烟雾干扰模型的主要参数及其可滤波的设计思路,在此基础上提出了相应的滤波算法并辅以Matlab平台进行了仿真分析.结果表明,该算法能够在较大程度上消除烟雾噪声,有效地改善烟雾干扰下的实时图质量,也为烟雾干扰下的实时图滤波技术提供了更为广泛的思路.

On the basis of research on the application of image matching technique, the heavy-inter- ference image matching especially the real-time filtering technique suffered from the smog interference ef- fects is addressed.The smog interference makes the real-time image fuzzy,which causes the image matc- hing system unperform well or brings error-match worse. Firstly, the smog interferences′ effects on the image matching system especially on the real-time filtering is analyzed,also including the main parameters of the smog interference model and the fundamental design for filter realization. Then the related filter al- gorithm is proposed on the basis of the analyses above and the simulation filter is performed using Mat- lab.The results indicate that this algorithm can eliminate the smog noise sufficiently,and improve the quality of the real-time image under smog interference effectively,which also provide more design meth- ods for the technique of the real-time filter under the smog interference.