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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。
Based on the research on current application of scene matching technology, this paper describes the strong interference scene matching technology, especially the real-time filtering technology under smoke interference. Smoke interference is the main reason for the ambiguity of the real-time map, resulting in the scene matching system can not play its due operational effectiveness, or even cause mismatch. Firstly, the influence of smoke jamming on scene matching system, especially on real-time image filtering is analyzed. The main parameters of smoke-jamming model and its design method of filtering are studied. Based on this, the corresponding filtering algorithm is proposed and complemented by Matlab platform Simulation analysis. The results show that the proposed algorithm can eliminate the smoke noise to a great extent and improve the quality of the real-time image effectively. It also provides a wider range of ideas for the real-time filtering technology under the smoke interference.