红外与毫米波学报, 2004, 23 (1): 67, 网络出版: 2006-05-10  

基于相关的多重分形奇异性分析的红外弱目标检测

INFRARED WEAK TARGET DETECTION BASED ON CORRELATION ANALYSIS OF MULTI-FRACTAL SINGULARITY SPECTRAL
作者单位
华中科技大学电子与信息工程系,湖北,武汉,430074
摘要
针对红外图像中的目标对比度低、背景复杂及受噪声严重干扰等特点,利用象素之间的相关性,提出了一种基于相关多重分形奇异性分析的弱目标检测方法.实验结果表明该算法对海洋和天空复杂背景及随机噪声影响都具有较好的抑制作用.
Abstract
Aiming at the characteristic of the infrared image, which is low contrast, complex background and seriously noise interfered in target, a kind of detection method was proposed by using the correlation among the pixel. The method is based on the correlation analysis for the multifractal singularity spectral. Experimental results show that this method is available for suppression of the random noises and the influences from the complex background of ocean and sky.
参考文献

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彭复员, 周麟, 阎旭光. 基于相关的多重分形奇异性分析的红外弱目标检测[J]. 红外与毫米波学报, 2004, 23(1): 67. 彭复员, 周麟, 阎旭光. INFRARED WEAK TARGET DETECTION BASED ON CORRELATION ANALYSIS OF MULTI-FRACTAL SINGULARITY SPECTRAL[J]. Journal of Infrared and Millimeter Waves, 2004, 23(1): 67.

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