红外与毫米波学报2011，Vol.30Issue(2)：156-161,166,7.
基于图像稀疏表示的红外小目标检测算法
Infrared small target detection based on image sparse representation
摘要
Abstract
The sparse representation based on over-complete dictionary is a new image representation theory.The redundancy of over-complete dictionary can enable it effectively to capture the geometrical characteristics of the images.In this paper, a novel detection method based on image sparse representation was introduced.The over-complete target dictionary is first constructed with atoms which are produced by two-dimensional Gaussian model.Then the sub-image blocks of the test image are extracted successively and the corresponding coefficients are calculated with the constructed over-complete target dictionary.There is a significant difference between the coefficients of objective and background.Whether the subimage block contains small target or not can be determined by the index of sparse concentration.Experimental results demonstrated the effectiveness of the proposed method.关键词
图像稀疏表示/红外小目标/目标检测Key words
image sparse representation/ infrared small target/ object detection分类
信息技术与安全科学引用本文复制引用
赵佳佳,唐峥远,杨杰,刘尔琦,周越..基于图像稀疏表示的红外小目标检测算法[J].红外与毫米波学报,2011,30(2):156-161,166,7.基金项目
国家自然科学基金(60772097) （60772097）
航空科学基金(2008ZC57) （2008ZC57）
