机载InSAR图像配准算法比较研究
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  • 英文篇名:The Comparison of Co-registration Algorithms of Airborne InSAR Image
  • 作者:马凯 ; 王仁礼 ; 杨庆庆 ; 陆华
  • 英文作者:MA Kai;WANG Renli;YANG Qingqing;LU Hua;Shandong Provincial Key Laboratory of Geomatics and Digtial Technology, Shandong University of Science and Technology;Xi'an Aerors Data Technology Co., Ltd.;
  • 关键词:干涉合成孔径雷达 ; 配准 ; 复图像 ; 匹配测度
  • 英文关键词:InSAR;;co-registration;;complex image;;match measure
  • 中文刊名:CHRK
  • 英文刊名:Geomatics World
  • 机构:山东科技大学山东省基础地理信息与数字化技术重点实验室;西安航天天绘数据技术有限公司;
  • 出版日期:2016-08-25
  • 出版单位:地理信息世界
  • 年:2016
  • 期:v.23;No.118
  • 基金:国家自然科学基金项目(4157012140)资助
  • 语种:中文;
  • 页:CHRK201604012
  • 页数:4
  • CN:04
  • ISSN:11-4969/P
  • 分类号:56-59
摘要
复图像配准的关键是选择合适的匹配测度函数,但匹配测度函数对不同地形的适应性有待于研究。本文首先介绍了复相关系数法、实相关系数法、频谱极大值法和平均波动函数法的原理和机载双天线In SAR数据的配准流程,然后分别对比分析4种测度函数在机载In SAR山地和平地数据的精度和可靠性。实验结果表明,复相关系数法和频谱极大值法分别在山地和平地区域获得稳健、高精度的配准结果
        The key to co-registration of complex images is in selecting appropriate match measures, but the adaptability of match measures at different terrain needs further study. Firstly, the principle of complex correlation coefficient, real correlation coefficient, maximum spectrum estimate method, average fluctuation function and the procedure of dual antenna airborne In SAR data processing are introduced in this paper. Secondly, the accuracy and reliability of four match measures are analyzed and compared using the airborne In SAR data in mountain and flatarea. Experimental results show that the complex correlation coefficient and maximun spectrum estimate method respectively get robust and high accuracy co-registration result in mountain region and flat region.
引文
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