摘要
文章在光学偏振理论的基础上 ,根据Stokes图像之间的相互联系和特征 ,提出了一种基于Stokes图像能量特征和噪声特征的小波域图像融合规则 ,以便高效地压缩图像中的杂乱背景 ;同时给出残余杂乱背景与总杂乱背景的比率RCC的定义 ,并结合信杂比SCR的定义对背景的压缩程度进行评价 .实验仿真结果表明该方法在杂乱背景压缩方面具有优越性 .
Based on optical polarization theory and the relation and character among Stokes images, a wavelet based image fusion rule is proposed to reduce the clutter in image based on the character of the Stokes images' energy and noise. The remnants clutter to clutter (RCC) and signal to clutter ratio, which is proposed, are used to evaluate the effect of clutter reduction. Through experiment and simulation, it is shown that this method can work well in clutter's reduction.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2005年第3期433-435,共3页
Acta Electronica Sinica
基金
航空基金 (No .0 3D530 32 )
武器装备预研基金 (No .51 4 0 1 0 4 0 2 0 4HK0 359)
西北工业大学自动化学院科技创新基金
关键词
偏振特征
Stokes图像
小波变换
图像融合
Algorithms
Computer simulation
Image processing
Polarization
Radar clutter
Sensor data fusion
Signal to noise ratio
Wavelet transforms
