基于红外背景复杂程度描述的小目标检测算法  

Small target detection algorithm based on infrared background complex degree description

作　　者：杨杰[1] 杨磊[1] 

机构地区：[1]上海交通大学图像处理与模式识别研究所,上海200240

出　　处：《红外与激光工程》2007年第3期382-386,共5页Infrared and Laser Engineering

基　　金：国防973基金资助项目(51323020203-2);国家自然科学基金资助项目(60675023);航空科学基金资助项目(04F57004)

摘　　要：提出了关于红外“背景复杂程度”的基本概念,发现并论述了一种有效的红外背景复杂程度定量描述方法。此外,提出了一种基于红外背景复杂程度描述的自适应Butterworth高通滤波方法,实现了具备一定普适性的红外图像预处理。在小目标检测问题的研究中,构造并实现了一种更具实用性的先检测后跟踪小目标检测算法,此算法在一个完整的框架下实现了红外图像预处理过程和小目标检测过程的自适应统一。The basic concept of infrared ＂background complex degree＂ is proposed and an effective quantitative method to describe infrared background complex degree is developed and discussed in this paper. Moreover, an infrared background complex degree description based adaptive Butterworth high pass filter is proposed and an infrared image preprocessing algorithm, which has a certain general adaptability, is achieved. During the research on the small target detection, a more practical DBT （detection before tracking） small target detection algorithm is constructed and implemented. The algorithm unifies the infrared image preprocessing and small target detection in an integrated framework adaptively.

关 键 词：红外图像预处理 小目标检测 Butterworth高通滤波 红外背景复杂程度 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]