摘要
GBSAR的高精度测量需要准确的干涉相位来保证,因此影像间的配准尤为重要。针对传统GBSAR影像配准方法没有充分考虑到同名点的几何分布和空间结构关系的问题,文中基于Fourier-Mellin和Delaunay三角网的特性,对GBSAR影像数据进行粗配准和精配准。结合GBSAR影像实例数据,并对配准结果的相干系数图进行统计分析,结果表明此方法可提高影像配准的精度,为GBSAR影像数据的后续处理提供较好参考。
The accurate interferometry phase can ensure the precision of GBSAR measurement.Therefore,the registration between images is particularly important.The traditional registration methods of GBSAR images do not fully take into account the geometric distribution and spatial structure relations of the same name points.This paper deals with GBSAR images by coarse registration and fine registration,based on the characteristics of Fourier-Mellin and Delaunay triangulation.Combined with GBSAR images,it makes a statistical analysis of the coherence graph factor of registration results.The results indicate that this method can improve the accuracy of images registration to a greater extent and provide a good reference for subsequent processing of GBSAR images.
出处
《测绘工程》
CSCD
2017年第2期14-17,共4页
Engineering of Surveying and Mapping
基金
国家自然科学基金资助项目(41174002)
水能资源利用关键技术湖南省重点实验室开放研究基金项目(PKLHD201311)
