国防科技大学学报2016，Vol.38Issue(6)：142-147,6.DOI:10.11887/j.cn.201606023
红外多光谱图像弹道目标检测算法
Ballistic target detection in infrared multispectral imagery
摘要
Abstract
There are two important characteristics for missile plume in infrared multispectral imagery:one is the gray-scale difference caused by strong infrared radiance;and the other one is the unique spectral signature feature.However,the classical single-band detection technology only uses the first characteristic,and the multispectral detection technology which has been developed in recent years only uses the second characteristic. In order to fully exploit the characteristics of missile plume,three detection algorithms were proposed by combining the single-band and multispectral detection technology.The advantages and disadvantages of the three algorithms were discussed in detail in the aspects of detection performance,computational complexity and robustness.Experiments on synthetic infrared multispectral imagery demonstrate a better performance of the combined algorithms when compared with single-band or multispectral detection algorithm.关键词
弹道目标检测/单波段目标检测/多光谱目标检测/红外多光谱图像Key words
ballistic target detection/single-band target detection/multispectral target detection/infrared multispectral imagery分类
信息技术与安全科学引用本文复制引用
黄树彩,凌强,韦道知,吴潇..红外多光谱图像弹道目标检测算法[J].国防科技大学学报,2016,38(6):142-147,6.基金项目
航空科学基金资助项目 （）
