利用粗DEM信息的分布式卫星InSAR图像精配准算法

Distributed Satellite InSAR Fine Coregistration Algorithm Using Coarse DEM

  • 摘要: 针对分布式卫星干涉合成孔径雷达图像配准中最大相干相关法在实际应用中缺乏理想相位估计值问题,提出利用粗数字高程模型反演干涉相位图作为理想相位估计值的处理方法。该方法通过在图像粗配准后利用主辅SAR图像的轨道信息、粗DEM以及主图像雷达成像几何反演出干涉条纹图,并将其作为理想干涉条纹估计值应用在最大相干相关法求取精配准偏移量中。此外,本文根据多基星载SAR雷达成像几何给出了利用粗DEM对SAR图像各像素对应目标点通用的空间定位方法及其干涉相位反演方法。ERS-1/2数据实验结果验证了本文方法的有效性。

     

    Abstract: This paper deals with the problem that the ideal interferometric phases are unavailable in the maximum coherent correlation method for distributed satellite interferometric synthetic aperture radar (InSAR) image fine coregistration. A DEM-assisted approach is proposed to estimate the ideal interferometric phases. The proposed method firstly simulates the interferometric phase using the orbit information and a coarse DEM after coarse coregistration. In fine coregistration processing the shifts of each block are estimated by the maximum coherent correlation method after removing the simulated interferogram. Meanwhile, the geolocation and fringe simulation method with coarse DEM are proposed with multi-static SAR focusing geometry which can be used in various SAR acquisition modes. Finally, the validity of the method is demonstrated by ERS-1/2 real data.

     

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