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首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >An InSAR Fine Registration Algorithm Using Uniform Tie Points Based on Voronoi Diagram
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An InSAR Fine Registration Algorithm Using Uniform Tie Points Based on Voronoi Diagram

机译：基于Voronoi图的一致结点的InSAR精细配准算法。

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摘要

Interferometric synthetic aperture radar (InSAR) image coregistration is a nontrivial task for its skew and distorted image pair, especially in severe decorrelated areas. In this letter, a new InSAR coregistration method, which considers both the coherence of the reference points and their topographical distribution, is proposed to perform accurate coregistration. First, a conventional cross-correlation registration method is performed, and a number of high coherent points are extracted as the reference points. Then, some well-distributed reference points are selected by utilizing the Voronoi diagram-based distribution optimization algorithm. Their subpixel correspondences are selected by finding the maximum values of the cross-correlation functions. Some singular correspondences are rejected by the random sample consensus method. Based on these accurate correspondences, the parameters of polynomial mapping function are estimated via the weighted least squares method. It improves the accuracy of geometrical mapping functions and overcomes the limitation of the conventional registration method when the reference points locate in low coherent area. C-band airborne repeat-pass acquired SAR data with 0.5-m resolution are used to validate the proposed algorithm by comparing with the conventional registration algorithm in accuracy. Experimental results prove the effectiveness of the proposed algorithm.
机译：干涉式合成孔径雷达（InSAR）图像配准是一项不平凡的任务，因为它具有偏斜和失真的图像对，尤其是在严重的去相关区域。在这封信中，提出了一种新的InSAR配准方法，该方法同时考虑了参考点的相干性和地形分布，可以执行精确的配准。首先，执行常规的互相关配准方法，并且提取多个高相干点作为参考点。然后，利用基于Voronoi图的分布优化算法选择一些分布良好的参考点。通过找到互相关函数的最大值来选择它们的子像素对应。一些奇异的对应关系被随机样本共识方法拒绝。基于这些精确的对应关系，通过加权最小二乘法估计多项式映射函数的参数。当参考点位于低相干区域时，它提高了几何映射函数的精度，并克服了常规配准方法的局限性。通过与传统配准算法的精度比较，以0.5 m分辨率的C波段机载重复通过SAR数据进行验证。实验结果证明了该算法的有效性。

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  • 来源
    《IEEE Geoscience and Remote Sensing Letters》 |2017年第8期|1403-1407|共5页
  • 作者

    Dongsheng Fang; Xiaolei Lv; Ye Yun; Fangfang Li;

  • 作者单位

    Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Institute of Electronics, Chinese Academy of Sciences, Beijing, China;

    Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Institute of Electronics, Chinese Academy of Sciences, Beijing, China;

    Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Institute of Electronics, Chinese Academy of Sciences, Beijing, China;

    Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Institute of Electronics, Chinese Academy of Sciences, Beijing, China;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    Coherence; Synthetic aperture radar; Optimization; Decorrelation; Image resolution; Correlation; Reliability;

    机译：相干性;合成孔径雷达;优化;去相关;图像分辨率;相关;可靠性;

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