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SAR image quality assessment using coherent correlation function

机译:使用相干相关函数的SAR图像质量评估

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Synthetic Aperture Radar (SAR) image quality parameters attained from the images are always different from system specification in resolution and side lobe intensity. It is difficult to locate effective point targets for calculating of SAR image quality parameters of impulse response function (IRF) characterization. In this paper, an objective image quality assessment method is proposed based on image region information. Spatial resolution (SR), peak side lobe ratio (PSLR) and integrated side lobe ratio (ISLR) are calculated using the coherent correlation function (CCF) of complex SAR images.
机译:从图像获得的合成孔径雷达(SAR)图像质量参数在分辨率和旁瓣强度方面始终与系统规范不同。很难找到有效点目标来计算脉冲响应函数(IRF)表征的SAR图像质量参数。本文提出了一种基于图像区域信息的客观图像质量评估方法。使用复杂SAR图像的相干相关函数(CCF)计算空间分辨率(SR),峰值旁瓣比(PSLR)和积分旁瓣比(ISLR)。

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