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低信噪比运动红外点目标的检测
引用本文:熊辉,沈振康,魏急波,李吉成.低信噪比运动红外点目标的检测[J].电子学报,1999,27(12):26-29.
作者姓名:熊辉  沈振康  魏急波  李吉成
作者单位:国防科技大学电子科学与工程学院,长沙,410073
摘    要:为解决高空背景条件下红外低噪比运动点目标的检测问题,本文提出了一种基于膨胀累加的检测方法。运用形态膨胀运算能够使同一目标处于不同帧上的能量仍然能够实现有效的累加,从而达到目标增强的目的。同时本文还采用小波变换预处理的方法,对图像中相关的1/f噪声进行白化。本文对这一方法进行了大量的仿真实验和详细的理论分析。实验证明该算法能够快速稳定地检测出信噪比为2的运动点目标。

关 键 词:红外图像处理  红外目标检测  小波变换

Moving Infrared Low SNR Target Detection algorithm
XIONG Hui,SHEN Zhen-kang,WEI Ji-bo,LI Ji-cheng.Moving Infrared Low SNR Target Detection algorithm[J].Acta Electronica Sinica,1999,27(12):26-29.
Authors:XIONG Hui  SHEN Zhen-kang  WEI Ji-bo  LI Ji-cheng
Abstract:This paper is presented to resolve the moving infrared target detection problem under the condition of lowSNR. The scheme of multi-frame accumulation is often adopted in low SNR infrared target detection, but for moving low SNRtarget, this simple accumulation scheme maybe degrades greatly. In this paper, a detectlon algorithm based on morphologicaldilation before accumulation and tracking before detection is prond. The dilation operation enables the energy 0f the sametarget in different frames can be accumulated effectively in spite of the movement of target, thus we can reach the aim of enhancing the target. A preprocessing algorithm using wavelet transform is also adopted to remove the correlation of l/f noise inparalle1 scanned infrared image. The whole algorithm is well analyzed and simulated with infrared image apuence. A high performance is reached and the experimental result indicates that the algorithm can effectively detect the moving target withSNR = 2.
Keywords:infrared image processing  infrared target detection  wavelet transform  mathematical morphology
本文献已被 CNKI 维普 万方数据 等数据库收录!
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