| 低信噪比图像中目标检测提取方法 |
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| 引用本文： | 王勇,汪建业. 低信噪比图像中目标检测提取方法[J]. 大气与环境光学学报, 2008, 3(3): 228-233 |
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| 作者姓名： | 王勇 汪建业 |
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| 作者单位： | 中国科学院安徽光学精密机械研究所,安徽合肥,230031;中国科学院安徽光学精密机械研究所,安徽合肥,230031 |
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| 基金项目： | 国家高技术研究发展计划(863计划) |
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| 摘 要： | 在低信噪比图像中检测慢运动小目标,无法利用尺寸,形状和纹理特征,使待测目标与噪声干扰形成的虚假目标相区分.基于小目标的慢运动特性及背景噪声的随机性,首先可以用多帧累积的方法检测到目标,再用区域生长法提取目标像素,进而,分析并验证累积帧数目、目标质心移动速度、图像处理算法对单帧检测概率及目标提取效果的影响。通过目标在两种质心运动速度下帧累积效果的对比,指出对非慢运动目标,帧累积法虽然可以有效预测其运动轨迹,但存在较大的单帧漏检率.
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| 关 键 词： | 大气光学 大气相干长度 图像处理 帧累积 弱目标检测 |
| 文章编号： | 1673-6141(2008)03-0228-06 |
| 收稿时间： | 2007-12-03 |
| 修稿时间： | 2007-12-03 |
Method for Detecting and Extracting an ObJect in Low SNR Image |
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| WANG Yong,WANG Jian-ye. Method for Detecting and Extracting an ObJect in Low SNR Image[J]. Journal of Atmospheric and Environmental Optics, 2008, 3(3): 228-233 |
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| Authors: | WANG Yong WANG Jian-ye |
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| Affiliation: | WANG Yong WANG Jian-ye(Anhui Institute of Optics , Fine Mechanics,Chinese Academy of Sciences,Hefei 230031,China) |
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| Abstract: | When detecting a small slow-moving object in a low SNR multi-frame image,characteristics of size,shape and vein can not be used to distinguish the object from untrue ones formed by noises.Based on the slow-moving characteristics of small objects and the stochastic of background noises,the method of frame integral can be employed first to detect the object,followed by region growing to extract group pixels of it, and further the effects of the number of integral frames,the moving speed of the centroid and th... |
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| Keywords: | atmospheric optics atmospheric coherence length image processing frame integral faint target detection |
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