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一种用于机载双天线InSAR系统的实时DEM生成方法及实现

  • 陈立福 ,
  • 林月冠 ,
  • 彭曙蓉 ,
  • 李红英
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  • 1. 长沙理工大学电气与信息工程学院, 长沙 410004;
    2. 国防科学技术大学电子科学与工程学院, 长沙 410073;
    3. 民政部减灾和应急工程重点实验室, 北京 100124

收稿日期: 2013-10-24

  修回日期: 2014-01-08

  网络出版日期: 2014-09-15

基金资助

国家自然科学基金(41201468)、智能电网运行与控制湖南省重点实验室项目和湖南省教育厅项目(12C002)资助

Algorithm of generating DEM in real-time for airborne dual-antenna InSAR system and its realization

  • CHEN Lifu ,
  • LIN Yueguan ,
  • PENG Shurong ,
  • LI Hongying
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  • 1. School of Electronic and Information Engineering, Changsha University of Science & Technology, Changsha 410004, China;
    2. Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China;
    3. Key Laboratory of Disaster Reduction and Emergency Response Engineering, Ministry of Civil Affairs, Beijing 100124, China

Received date: 2013-10-24

  Revised date: 2014-01-08

  Online published: 2014-09-15

摘要

为满足实时地形测绘需求,从算法本质上解决运算量太大的问题,提出基于机载双天线InSAR系统的实时DEM生成算法.采用非线性ECS自配准成像算法,获取高精度配准的双通道SAR图像,省略了后续非常耗时的配准过程.对获取的双通道SAR图像,进行快速干涉滤波产生高质量干涉条纹,进而对该条纹采用基于密集残差点划分的快速相位展开算法,获得无缠绕干涉相位.对于传统非常耗时的参数定标问题,采用基于外部粗精度DEM数据的初始相位偏置实时估计算法,并结合在定标场获取的基线长度、基线倾角和绝对延迟时间等参数进行反演,实时获取DEM.通过算法实时性分析,给出硬件实现方案.实际InSAR数据处理结果验证了本算法的有效性.

本文引用格式

陈立福 , 林月冠 , 彭曙蓉 , 李红英 . 一种用于机载双天线InSAR系统的实时DEM生成方法及实现[J]. 中国科学院大学学报, 2014 , 31(5) : 678 -684 . DOI: 10.7523/j.issn.2095-6134.2014.05.014

Abstract

In order to meet the requirement of terrain mapping in real time, we solve the problem of large computation in algorithm and provide real-time DEM generating algorithm based on airborne dual-antenna InSAR system. The algorithm utilizes non-linear ECS auto-registration imaging algorithm to generate high-accuracy registrated dual-channel SAR images, and omits the sabsequent time-consuming registration course. Fast filter is performed on the two SAR images to generate high-quality interferometric fringe, and then fast phase unwrapping algorithm based on partitioning the dense residues area is done to get the unwrapped phase. For the traditional time-consuming calibration problem, estimation of initial phase deviation in real time based on external coarse precision DEM data is performed. By combining the parameters such as baseline length, baseline obliquity, and absolute time delay, DEM is generated in real time. Through analyzing the real-time performance of the algorithm, the hardware structure to realize the algorithm is brought forward. The processed results of the real InSAR data show the validation of the algorithm.

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