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实时轨道条件下Sentinel-1卫星影像干涉配准
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  • 英文篇名:Coregistration of Sentinel-1 TOPS Data for Interferometric Processing Using Real-Time Orbit
  • 作者:吴文豪 ; 李陶 ; 龙四春 ; 周志伟
  • 英文作者:WU Wenhao;LI Tao;LONG Sichun;ZHOU Zhiwei;Hunan Province Key Laboratory of Coal Resources Clean-Utilization and Mine Environment Protection, Hunan University of Science and Technology;GNSS Research Center, Wuhan University;Institute of Geodesy and Geophysics, Chinese Academy of Sciences;
  • 关键词:哨兵卫星 ; 步进扫描模式 ; 合成孔径雷达干涉测量 ; 几何配准 ; 增强谱分集 ; 互相关
  • 英文关键词:Sentinel-1;;terrain observation by progressive scans;;SAR interferometry;;geometrical coregistration;;enhanced spectral diversity;;cross correlation
  • 中文刊名:WHCH
  • 英文刊名:Geomatics and Information Science of Wuhan University
  • 机构:湖南科技大学煤炭资源清洁利用与矿山环境保护湖南省重点实验室;武汉大学卫星导航定位技术研究中心;中国科学院测量与地球物理研究所;
  • 出版日期:2019-05-05
  • 出版单位:武汉大学学报(信息科学版)
  • 年:2019
  • 期:v.44
  • 基金:国家自然科学基金(41877283,41474014,41674032)~~
  • 语种:中文;
  • 页:WHCH201905016
  • 页数:6
  • CN:05
  • ISSN:42-1676/TN
  • 分类号:116-121
摘要
Sentinel-1卫星步进扫描模式干涉处理方位向配准精度要求达到0.001个像素,通常在精密轨道条件下采用几何配准联合增强谱分集完成影像的配准。但Sentinel-1卫星精密轨道发布较晚,而实时轨道精度较低,几何配准后易导致增强谱分集相位缠绕。为了进一步修正实时轨道条件下的几何配准结果,满足卫星干涉实时处理的需要,选取以点目标为中心的窗口进行相关配准,并对多组Burst配准结果进行拼接处理,以提高相关配准算法的可靠性和精度,确保配准精度满足增强谱分集的要求。
        An azimuth coregistration accuracy of 0.001 pixel is required for Sentinel-1 terrain observation by progressive scans(TOPS) interferometric processing, which is usually accomplished by a geometric coregestration and enhanced spectral diversity based on precise orbit information. However, the precise orbit information is distributed later than TOPS synthetic aperture radar(SAR) products, and the accuracy of real-time orbits is not high enough, which could result the phase of enhanced spectral diversity wrapped after geometric coregistration. We aim to improve the geometric coregistration accuracy using real-time orbits to meet the requirement of interferometric processing of Sentinel-1. Firstly, the windows centered by point scatterers are selected to perform the cross correlation coregistration. Then, multi-bursts results are mosaicked to improve the accuracy and reliability of cross correlation coregistration approach, which promises the coregistration accuracy for enhanced spectral diversity. Finally, this method is validated by a real case.
引文
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