利用轨道参数修正的无控制点星载SAR图像几何校正方法

陈继伟; 曾琪明; 焦健; 叶发旺; 朱黎江

doi:10.11947/j.AGCS.2016.20160182

测绘学报 >

2016 , Vol. 45 >Issue 12: 1434 - 1440

DOI: https://doi.org/10.11947/j.AGCS.2016.20160182

摄影测量学与遥感

利用轨道参数修正的无控制点星载SAR图像几何校正方法

陈继伟 ,
曾琪明 ,
焦健 ,
叶发旺 ,
朱黎江

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1. 北京大学遥感与地理信息系统研究所, 北京 100871;
2. 核工业北京地质研究院, 遥感信息与图像分析技术国家级重点实验室, 北京 100029

陈继伟(1992-),男,硕士生,研究方向为SAR/InSAR理论与应用研究。E-mail:chenjiwei@pku.edu.cn

收稿日期: 2016-04-25

修回日期: 2016-11-01

网络出版日期: 2017-01-02

基金资助

国家自然科学基金（41571337）；中核集团核心能力提升项目（遥HXY111-1）

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Spaceborne SAR Image Geometric Rectification Method without Ground Control Points Using Orbit Parameters Modulation

CHEN Jiwei ,
ZENG Qiming ,
JIAO Jian ,
YE Fawang ,
ZHU Lijiang

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1. Institute of Remote Sensing and Geographic Information System, Peking University, Beijing 100871, China;
2. National Key Laboratory of Remote Sensing Information and Image Analysis Technology, Beijing Research Institute of Uranium Geology, Beijing 100029, China

Received date: 2016-04-25

Revised date: 2016-11-01

Online published: 2017-01-02

Supported by

The National Natural Science Foundation of China (No.41571337);China National Nuclear Corporation Projects (No.YAO HXY111-1)

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摘要

使用距离多普勒模型进行SAR图像几何校正时，卫星轨道误差、系统成像参数误差和DEM高程的误差会影响几何校正精度。本文提出了一种基于轨道参数修正的星载SAR图像几何校正方法。首先利用多项式对卫星轨道进行参数化，然后使用模拟SAR图像与真实SAR图像进行匹配得到控制点来修正轨道参数，最后利用修正后的参数进行几何精校正，从而提高几何校正精度。该方法无需地面控制点，适用于不易于人工测量获取地面控制点地区的SAR图像几何校正，与基于模拟SAR图像匹配并使用多项式改正的几何校正方法相比，本文方法具有更高的精度。使用Radarsat-2图像进行试验，并使用地面实测GPS控制点验证了本方法的有效性。

关键词： SAR图像; 几何校正; 轨道参数; 距离多普勒模型

本文引用格式

陈继伟 , 曾琪明 , 焦健 , 叶发旺 , 朱黎江 . 利用轨道参数修正的无控制点星载SAR图像几何校正方法[J]. 测绘学报, 2016 , 45(12) : 1434 -1440 . DOI: 10.11947/j.AGCS.2016.20160182

Abstract

When using the Range-Doppler model for SAR image geometric correction, the error of satellite orbit, imaging parameter and DEM elevation will affect the geometric correction accuracy. A new geometric rectification method has been presented for spaceborne SAR image. First, polynomial was used for parameterizing SAR orbit. Then orbit parameters were corrected by control points that acquired by matching of simulated SAR image and real SAR image. Finally, the precise geometric rectification using corrected parameters was accomplished. The presented method can be applied for SAR image geometric rectification where the ground control points are difficult to be acquired. It has higher precision compared to the geometric rectification based on image simulation and polynomial correction. The Radarsat-2 image was used in experiments, and the ground control points measured by GPS validated the proposed approach.

Key words： SAR image; geometric rectification; orbit parameter; Range-Doppler model

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