CAJ | 학술논문

针对红外点目标检测的要求,提出了一种基于约束独立分量分析(cICA)的红外点目标检测方法. 该方法只采用单帧扫描图像作为数据源,利用峭度约束的独立分量分析方法,消除了传统独立分量分析(ICA)方法的提取顺序的不确定性,从而直接提取点状目标的位置. 实验结果表明,利用该方法能够有效地进行红外点目标检测.
침대홍외점목표검측적요구,제출료일충기우약속독립분량분석(cICA)적홍외점목표검측방법. 해방법지채용단정소묘도상작위수거원,이용초도약속적독립분량분석방법,소제료전통독립분량분석(ICA)방법적제취순서적불학정성,종이직접제취점상목표적위치. 실험결과표명,이용해방법능구유효지진행홍외점목표검측.
To solve infrared point target detection problems, a novel approach called cICA(constraint independent component analysis) is proposed. It adopts only one image as data source and introduces the constraint of kurtosis to the ICA (independent component analysis) to eliminate the permutation ambiguity of ICA. Experiments utilizing this method showed that it could detect point targets effectively.