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Robust Adaptive Coregistration of InSAR Images Using Multisource Information and Joint Data Fusion

机译:多源信息和联合数据融合的InSAR图像稳健自适应配准

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摘要

This paper addresses an adaptive coregistration method of synthetic aperture radar interferometry (InSAR) phase images. The method for adaptive coregistration of InSAR images is characterized by using multisource information and joint data fusion. We propose a strategy and criteria incorporating the weighted joint data information to evaluate the accuracy of the registered method by the using the mean-squared differences. Numerical results on the simulated data demonstrate the efficiency and precision of the proposed method.
机译:本文提出了一种合成孔径雷达干涉测量(InSAR)相位图像的自适应配准方法。利用多源信息和联合数据融合技术,对InSAR图像进行自适应配准方法进行了表征。我们提出了一种策略和准则,结合了加权联合数据信息,以通过使用均方差评估注册方法的准确性。仿真数据的数值结果证明了该方法的有效性和准确性。

著录项

  • 来源
    《ChinaVR'2010 : Abstract. 》|2010年|p.1700-1704|共5页
  • 会议地点 Shanghai(CN)
  • 作者单位

    Department of Electronic Engineering, Xi'an Communication Institute, Xi'an 710106, China;

    National Lab of Radar Signal Processing, Xi'an University, Xi'an 710071, China;

    National Lab of Radar Signal Processing, Xi'an University, Xi'an 710071, China;

    Department of Electronic Engineering, Xi'an Communication Institute, Xi'an 710106, China;

    Department of Electronic Engineering, Xi'an Communication Institute, Xi'an 710106, China;

    Department of Electronic Engineering, Xi'an Communication Institute, Xi'an 710106, China;

    Department of Electronic Engineering, Xi'an Communication Institute, Xi'an 710106, China;

    Department of Electronic Engineering, Xi'an Communication Institute, Xi'an 710106, China;

    Department of Electronic Engineering, Xi'an Communication Institute, Xi'an 710106, China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 计算机仿真 ; 计算机仿真 ;
  • 关键词

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