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A new method for SAR image coregistration from interferometric coherence modeling

机译:来自干涉相干模型的SAR图像核心标记的一种新方法

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A new method on single-looking complex SAR images coregistration from interferometric coherence modeling is proposed to accurately seek homologous points. The set of Doppler, slant-range and ellipsoid equations are employed to compute the coarse matching position. The mathematical model of spatial coherence surface can be established using discrete correlation values of central pixel and its adjacent positions. The accurate matching pixel of homologous point can be derived through the maximization operation of modeled mathematical coherence surface. The proposed interferometric coherence modeling method can greatly mitigate the coherence loss due to discrete searching windows in traditional SAR image coregistration algorithms. The ALOS/PALSAR acquisitions over the Longmenshan mountainous area in southwestern China are employed in the study. The testing results show that the coregistration accuracy of SAR images can reach (0.1~.01) pixels. The statistical interferometric coherence is improved with almost 5%. The quality improvement of derived interferogram validates the reliability of the proposed SAR image coregistration method.
机译:提出了一种关于单眼复杂SAR图像的新方法,从干涉间相干模型中进行了一种新的方法,以准确地寻求同源点。采用该组多普勒,倾斜范围和椭圆体方程来计算粗匹配位置。空间相干表面的数学模型可以使用中心像素及其相邻位置的离散相关值来建立。可以通过建模的数学相干表面的最大化操作来导出同源点的精确匹配像素。所提出的干涉式相干性建模方法可以大大减轻传统SAR图像核心算法中的离散搜索窗口的相干损失。在中国西南部龙门山山区的Alos / Palsar收购是在该研究中的研制起来。测试结果表明,SAR图像的核心标记精度可以达到(0.1〜.01)像素。统计干涉性相干性近5%提高。派生干扰图的质量改进验证了所提出的SAR图像内记录方法的可靠性。

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