测绘学报

• 学术论文 •    

一种基于卫星编队InSAR的基线检测方法

郑浩1,汤晓涛2,陈刚1,刘志铭   

  • 收稿日期:2008-09-22 修回日期:2009-11-23 出版日期:2010-04-22 发布日期:2010-04-22
  • 通讯作者: 郑浩

One Ways of InSAR Baseline Detection Based on Formation Satellites

  • Received:2008-09-22 Revised:2009-11-23 Online:2010-04-22 Published:2010-04-22
  • Contact: ZHENG Hao

摘要: 在卫星编队的InSAR系统中,由于参与编队的各卫星相对位置不断变化,故其基线也在不断变化,需要一种可靠的方法精确测定基线,通常采用星间基线测量和地面基线估计两种方法进行基线测量。不管采用哪种方法,都不可避免的存在测量误差。在InSAR数据处理过程中,基线起着至关重要的作用,是影响干涉处理结果的重要因素。它决定了有效干涉影像对的选取,对数据处理中的平地效应等有很大影响,其精度决定了InSAR数据处理的最终成果精度。要获得高精度的DEM (Digital Elevation Model),就必须要有高精度的基线,而基线检测是获取高精度基线的重要手段之一,但是基线检测在国内尚无经验可以借鉴,国际上的相关报道也很少。本文研究的是基于卫星编队InSAR的基线检测技术,它是利用高精度的地面实验场数据,对高动态、分布式卫星条件下合成孔径雷达系统的InSAR基线参数进行检测,通过对现有的多种基线检测方法进行了分析比较,提出了一种改进的基于基线线性拟合的基线检测方法,并采用ERS真实数据进行了基线检测实验,通过比较检查点高程和进行精度分析表明,采用该基线检测方法基线精度有很大提高,具有很高的实际应用价值。

Abstract: In the InSAR system based on formation-flying satellites,because the relative position of each satellite participated in formation moves continuously and need a credible way to measure accurately, which is Interaerocraft baseline measurement and baseline estimation. In spite of anyway, the error must be exist. On the processing of the InSAR, baselines are important parameters, and vitally influence the precision of the height of ground point. Baseline is important in InSAR processing, and which is the important factor and decide the chose of interferometric image twins, and be helpful to flat domino effect. Baseline precision decides the last result for InSAR processing. No hi-precision baseline, and no hi-precision DEM. Baseline detection is one of important ways to get high-precision baseline. As yet, the work has not been done in our country, so there are not experiences to use for reference and there is little record in the overseas. This paper studies the baseline detection in the formation-flying satellites. Baseline detection deal with the baseline parameters which is hi-dynamic and distributed by using the hi-precision ground area data. By analyzing and comparing many baseline accurately estimation model, I deduce an advanced-model of baseline estimation based on baseline linear fitting. The tests of baseline detection have been done by using the ERS real data. The result shows the baseline precision has been advances greatly, so the way has practicality very much.