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Method for monitoring displacement of terrain and man elements using ground radar data synthetic aperture (gbsar) created.

机译:使用地面雷达数据合成孔径(gbsar)来监视地形和人为元素的位移的方法。

摘要

Method for monitoring ground displacements and elements man using radar data terrestrial synthetic aperture (GBSAR) created. # A method of monitoring ground displacements and elements man comprising preprocessing sets of complex SAR images acquired created in a first campaign, and in a subsequent campaign by a GBSAR instrument to obtain an average SAR image inconsistent for each campaign; #seleccionar, in each of the average SAR images incoherent, pixels that are representative of targets respectively in each of said datasets SAR images, selected the aforementioned objectives artificial corner reflectors, if has deployed in the area of ​​interest, and natural reflectors in the area of ​​interest; #realizar a global correlation of images on the pixels selected to obtain a set of pairs of global deviations in pixels and selection ar a plurality of pairs of global deviations quality score; #estimar effects repositioning GBSAR comprising obtaining a mask pixel corresponding to stable stable area areas the area of ​​interest, calculating a subset of global deviations entering the mask, estimating a transformation coregistration based on the subset of global deviations, and producing a set of parameters that models the effects coregistration repositioning GBSAR; #estimar pairs of offsets for each campaign by removing the effects of repositioning GBSAR modeled by parameters of coregistration set of pairs of global deviations, thereby obtaining a plurality of pairs of displacement deviations expressed in pixels, making displacement deviations in displacement in pixels expressed in a displacement unit, and obtaining a set of pairs of estimated displacements in a space defined by geocoding object implies a transformation object image.
机译:创建了使用雷达数据地面合成孔径(GBSAR)监测地面位移和元素人的方法。 #一种监测地面位移和要素人的方法,包括对第一个战役中以及随后的战役中由GBSAR仪器创建的采集的复杂SAR图像进行预处理,以获取每个战役不一致的平均SAR图像; #seleccionar,在每个不连续的平均SAR图像中,分别代表每个所述数据集SAR图像中目标的像素,选择了上述物镜(如果已部署在感兴趣的区域中)人造角反射器,以及自然反射器。感兴趣的领域; #realizar被选择的像素上的图像的全局相关性,以获得像素对中的一对全局偏差对,并且选择为多个成对的全局偏差质量分数; #estimar效果重新定位GBSAR,包括获得与感兴趣区域的稳定稳定区域相对应的蒙版像素,计算进入蒙版的全局偏差的子集,基于全局偏差的子集估计变换共容性以及生成一组对影响重定位GBSAR进行建模的参数;通过消除由全局偏差对成对集合参数设置的GBSAR建模重新定位的影响,为每个运动估算#偏移,从而获得多对以像素表示的位移偏差,从而使位移的偏移偏差以像素表示。位移单元,并在由地理编码对象定义的空间中获得一组估计的位移对,就意味着一个转换对象图像。

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