论文部分内容阅读
文章针对现有SAR影像配准方法对喀斯特地貌低相干区域配准的局限性,在阴影区域提取的基础上提出一种SAR影像多级配准方法。通过对喀斯特地貌阴影区域的分析,逐级提取阴影区域质点和位于山峰位置的高相干点作为特征点。在进行像元级和亚像元级的配准时分别采用几何特征参数和相干系数作为自动配准的测度。实验验证了喀斯特地貌SAR影像采用此方法进行配准的可行性,配准精度有所提高。
Aiming at the limitations of existing SAR image registration methods to the registration of low coherence regions in karst landforms, a multi-level SAR image registration method is proposed based on the extraction of shadow regions. Based on the analysis of the shaded area of karst topography, the feature points are extracted step by step from the shaded area points and the high coherence point located at the mountain peak. Geometric feature parameters and coherence coefficients were used as measures for automatic registration at the pixel-level and sub-pixel level, respectively. The feasibility of using this method to verify the registration of karst landform SAR images has been verified experimentally and the registration accuracy has been improved.