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低信噪比运动红外点目标的检测 被引量:19

Moving Infrared Low SNR Target Detection algorithm
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摘要 为解决高空背景条件下红外低信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。 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.
出处 《电子学报》 EI CAS CSCD 北大核心 1999年第12期26-29,共4页 Acta Electronica Sinica
关键词 红外目标检测 小波变换 红外寻的 infrared image processing infrared target detection wavelet transform mathematical morphology
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