| 引用本文: | 熊辉,沈振康.低信噪比抖动红外点目标的检测.[J].国防科技大学学报,1998,20(2):54-59.[点击复制] |
| Xiong Hui,Shen ZhenKang.Dithering Infrared Low SNR Target Detection Algorithm[J].Journal of National University of Defense Technology,1998,20(2):54-59[点击复制] |
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| 低信噪比抖动红外点目标的检测 |
| 熊辉, 沈振康 |
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(国防科技大学 ATR重点实验室 湖南 长沙 410073)
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| 摘要: |
| 本文为解决低信噪比条件下抖动红外点目标的检测问题, 提出了一种基于膨胀累加、检测前跟踪的检测算法。该算法运用膨胀累加方法能够消除抖动对多帧累加算法的不利影响, 使目标能量仍然能够实现有效的积累, 从而达到目标增强的目的。本文还采用了小波变换预处理方法, 对图象中相关的1/f噪声进行白化。模拟实验结果表明, 该算法能够快速检测出信噪比为2抖动点目标。 |
| 关键词: 红外图象处理, 红外目标检测, 小波变换 |
| DOI： |
| 投稿日期：1997-08-14 |
| 基金项目: |
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| Dithering Infrared Low SNR Target Detection Algorithm |
| Xiong Hui, Shen ZhenKang |
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(ATR LAB, NUDT, Changsha, 410073)
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| Abstract: |
| In this paper it is presented to resolve the dithering infrared target detection problem under the condition of low SNR. Accumulation of multiframes is often adopted in low SNR infrared target detection, but for dithering low SNR target, this simple accumulation scheme maybe degrade greatly. In this paper, detection algorithm based on dilation before accumulation of multiframes and track before detection is proposed. The dilation operation enables the energy of the same target in different frames to accumulate effectively dispite of the dithering of target, thus we can reach the aim of enhencing the target. The false alarm candidates are removed in the procedure of track before detection. A preprocessing algorithm using wavelet transform is also adopted to remove the correlation of 1/f noise. At the end of this paper, the whole algorithm is simulated with infrared image sequence. A high performance is obtained and the experimental result indicates that the algorithm can effectively detect the target with SNR=2. |
| Keywords: infrared image processing, infrared target detection, wavelet transform, mathematical morphology |
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