测绘学报 ›› 2018, Vol. 47 ›› Issue (11): 1495-1505.doi: 10.11947/j.AGCS.2018.20170450

• 摄影测量学与遥感 • 上一篇    下一篇

联合对飞数据的单控制点机载干涉SAR定标算法

汪丙南1, 向茂生1,2, 蒋帅1,2, 付希凯1,2   

  1. 1. 中国科学院电子学研究所微波成像技术国家级重点实验室, 北京 100190;
    2. 中国科学院大学, 北京 100049
  • 收稿日期:2017-08-14 修回日期:2018-05-03 出版日期:2018-11-20 发布日期:2018-11-29
  • 作者简介:汪丙南(1984-),男,博士,助理研究员,主要从事于干涉合成孔径雷达体制与方法研究。E-mail:wbn@mail.ie.ac.cn
  • 基金资助:
    中国科学院机载干涉SAR高精度测绘创新交叉团队项目

Calibration of Airborne Interferometric SAR with Single Corner Reflector in Two Converse Flights

WANG Bingnan1, XIANG Maosheng1,2, JIANG Shuai1,2, FU Xikai1,2   

  1. 1. National Key Laboratory of Microwave Imaging Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2017-08-14 Revised:2018-05-03 Online:2018-11-20 Published:2018-11-29
  • Supported by:
    CAS Interdisciplinary Innovation Team of High Precision Mapping by Airborne Interferometric SAR

摘要: InSAR高精度高程测量要求在测绘区域人工布放大量定标器,一定程度上限制了其在地形测图领域的应用。本文提出一种联合对飞数据的单控制点机载干涉SAR定标算法。首先基于干涉测量基本原理构建了平面和高程三维定标模型,梳理了影响三维定位的特征参数;然后通过特征参数分离将三维定位模型维度降低到3个自由度,根据对飞同场景干涉图像对提取同名点,建立同名点高程测量定标约束方程,最终实现单控制点干涉参数定标。理论分析和机载对飞试验结果验证了算法的正确性和有效性。

关键词: 干涉合成孔径雷达, 干涉定标, SIFT, 同名点, 控制点, 对飞

Abstract: Quite a few corner reflectors are essential for interferometric SAR in high precision terrain mapping applications,which limits its application in surveying and mapping industry.In this paper,we present a calibration algorithm of airborne interferometric SAR using single corner reflector in two converse flights.Firstly,based on principle of SAR interferometry,a three-dimensional calibration model considering horizontal and elevation positioning is constructed.Then several characteristic parameters which affect 3D location are analyzed and reduced to three parameters successfully.Finally,we extracted a number of tie points from two groups of complex image pairs in two converse flights by SIFT algorithm.New calibration functions can be developed from the tie points,which helps reduce number of control points.Real data experiments results confirmed the validity and rationality of the proposed algorithm.

Key words: interferomertic SAR, interferometric calibration, scale-invariant feature transform, tie points, controlled points, converse flight

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