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一种红外玫瑰扫描亚图像分辨率提升算法

An Algrithom to Improve Distinguish of Rosette-Scanning Infrared Sub-Image
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摘要 根据某导引头玫瑰扫描的原理与特性,提出了一种基于现有导引头硬件架构提升红外玫瑰线扫描亚图像分辨率的方法。利用瞬时视场间的相互覆盖关系,通过集合去交(ADI)算法有效去除冗余信息,确立目标更精确的位置,综合运用多帧亚图像数据积累与补充,实现对红外玫瑰扫描亚图像数据的超分辨率处理。研究表明:该算法能提高目标的识别精度,便于有效区分视场中的多个目标,利于增强导引头目标识别精度和抗红外干扰性能。 According to the principle and characteristic of some rosette scanning, the method to improve the distinguishment of rosette-scanning infrared sub-image based on the present hardware of the seeker was proposed in this paper. The redundant information was deleted effectively by aggregate deletes intersection (ADI) algorithm which using the the intersection of the instantaneous view and more exacter position of the targets would be determined. The data super-resolution treatment of rosette-scanning infrared sub-image by accumulation and supplement multi-frame of sub-images. The research results showed that this method could effectively improve the precision of target recognition, distinguish multi-target in advance and enhance the anti interference performance of the infrared guiding seeker.
出处 《上海航天》 2014年第2期13-18,25,共7页 Aerospace Shanghai
关键词 红外玫瑰扫描 亚图像 超分辨率 ADI算法 Infrared rosette scanning Sub-image Resolution enhancing Aggregate deletes intersection algo- rithm
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