红外技术2017，Vol.39Issue(5)：427-435,9.
空间目标红外特征提取与识别技术
Infrared Feature Extraction and Recognition Technology of Space Target
摘要
Abstract
Dissimilarity is usually large among the same space target but small among different ones for infrared recognition. Aiming at these problems, a method of space-target infrared feature extraction and recognition with the use of SVM classifier combining with LBP histogram feature and gray histogram feature is proposed. A domestic satellite and a foreign satellite are taken as the objects of study. LBP histogram feature and gray histogram feature of their infrared images are extracted. Sample images under different attitudes and resolutions are generated by the simulation software, and they are divided into two parts, one for SVM classifier training set and the other for test set. The test results indicate that not only can both LBP histogram feature and gray histogram feature recognize the space targets with a high accuracy, but also their recognition performances relate to the resolution of infrared images and the kernel functions of SVM.关键词
红外识别/特征提取/空间目标Key words
infrared recognition/feature extraction/space target分类
信息技术与安全科学引用本文复制引用
李瑞东,孙协昌,李勐..空间目标红外特征提取与识别技术[J].红外技术,2017,39(5):427-435,9.基金项目
国家863计划课题(2014AA7032031E) （2014AA7032031E）
火箭军装备预研项目. （）
