航空兵器Issue(2)：47-51,5.DOI:10.19297/j.cnki.41-1228/tj.2016.02.009
基于多光谱与显著性的红外弱小目标融合检测
Fusion and Detection of Infrared Dim and Small Targets Based on Multi-Spectral and Saliency
摘要
Abstract
A new fusion and detection algorithm for infrared dim and small targets is proposed based on multi-spectral and saliency.The algorithm is the combination of information acquired from multi-spec-tral sensors in the same scene by using temporal and spatial correlation and their complementarity, aims at improving the detection performance of system.Based on human visual system, saliency is adopted, which can let computer find the interesting regions fast and correctly.The targets are considered as a class, background and interference points are another class.This algorithm chooses sum of squares of de-viations as a criterion to make the minimum distance within the class and the maximum distance between the classes.Parameters of fusion are trained and the saliency image is obtained.Experiments show that this algorithm can well separates the object and background, thereby detecting the targets.关键词
红外弱小目标/多光谱/显著性/图像融合Key words
infrared dim and small targets/multi-spectral/saliency/image fusion分类
信息技术与安全科学引用本文复制引用
顾章源,刘达,李建勋,张喜涛,王栋..基于多光谱与显著性的红外弱小目标融合检测[J].航空兵器,2016,(2):47-51,5.基金项目
航空科学基金项目 （）
