摘要
采用考虑湍流内外尺度影响的退化模型来恢复大气湍流降质图像,运用包含了湍流内外尺度影响的波结构函数、折射率谱以及薄透镜成像的退化函数导出了新的退化模型。相对由Kolmogorov谱推导出的模型,该模型引入了更完整的先验约束条件,更接近大气湍流的物理特性。针对飞机目标湍流退化图像,利用约束最小二乘滤波的方法对该退化模型进行了复原验证,模拟结果表明了该模型比较理想,恢复效果较好。
A new degradation model includling the influence of outer-and inner-scale of turbulence is presented to restore atmospheric turbulence degradation images. This new model is derived from the wave structure function and refractive index profiles considering turbulence internal and external scale and thin lens imaging degradation function. Compared with the model derived from Kolmogorov spectrum, the new model introduces more complete transcendent constraints and is more similar to the physical characteristics of atmospheric turbulence. Aiming at the turbulent degraded images comprising aircraft targets, constrained least squares filtering method is used to test the recovery power of the new degradation model. Simulation results show the effectiveness of the new model.
出处
《电子科技大学学报》
EI
CAS
CSCD
北大核心
2008年第6期890-892,950,共4页
Journal of University of Electronic Science and Technology of China
基金
国家自然科学基金(60572079)
关键词
约束最小二乘滤波
降质图像
大气湍流退化模型
湍流内外尺度
恢复图像
constrained least squares filter
degraded image
degradation model of atmospheric turbulence
outer-and inner-scale of turbulence
restore image
