摘要
该文提出了一种符合人眼视觉系统特性的合成孔径雷达干扰效果评估方法。该方法根据人眼视觉系统的对比敏感度函数,以及小波变换与人类视觉系统的多通道特性相匹配的特点,求取被干扰图像与原始图像之间在各子频带内小波分解系数的相关系数,最后通过非线性合并获得总的评价量——小波加权相关系数。实验结果表明,该评估指标不仅能正确反映出SAR图像降质与干扰能量之间的关系,而且比传统的评估指标能更好地保持与人的主观感受一致。
In this paper, a objective evaluation method for synthetic aperture radar jamming effect assessment is proposed, by which it can achieve an index consistent with perceptual property of Human Visual System (HVS). This method acts according to the Contrast Sensitivity Function (CSF) of HVS, as well as the characteristic of wavelet transformation which matches with the humanity vision system's multichannel model. Firstly wavelet decompositions of jammed image and the primitive image are accomplished, then in each subband, the wavelet transformation coefficients of these two images are used to accomplish correlation coefficient calculation, and the correlation coefficients in each subband are weighted by CSF function's mean value. Eventually the final index-- Wavelets Weighted correlation Coefficient (WWC) is obtained by nonlinear combing all weighted correlation coefficients acquired in former step. Simulation results show that the WWC index can not only reflect the degrade of SAR image with the increase of jamming energy but also reflect people's subjective feelings in a better way compared with existed indices.
出处
《电子与信息学报》
EI
CSCD
北大核心
2011年第6期1505-1509,共5页
Journal of Electronics & Information Technology
基金
国家自然科学基金(60672033
60802078)资助课题
关键词
合成孔径雷达
干扰
评估
对比敏感度函数
相关系数
SAR
Jamming
Evaluation
Contrast sensitivity function
Correlation coefficient