测绘学报 ›› 2018, Vol. 47 ›› Issue (7): 986-995.doi: 10.11947/j.AGCS.2018.20170283

• 摄影测量学与遥感 • 上一篇    下一篇

稀少控制的多平台星载SAR联合几何定标方法

吕冠南1,2, 唐新明2, 艾波1, 李涛2, 陈乾福2   

  1. 1. 山东科技大学测绘科学与工程学院, 山东 青岛 266590;
    2. 国家测绘地理信息局卫星测绘应用中心, 北京 100048
  • 收稿日期:2017-06-01 修回日期:2018-01-21 出版日期:2018-07-20 发布日期:2018-07-25
  • 通讯作者: 唐新明 E-mail:tangxinming99@qq.com
  • 作者简介:吕冠南(1991-),男,硕士生,研究方向为海洋地理信息系统与星载SAR几何定标技术。E-mail:lvgn@foxmail.com
  • 基金资助:
    国家重点研发计划(2017YFB0502700);国家自然科学基金(41401529);国家民用航天计划(D010102);国家基础测绘科技计划(2018KJ0204;2018KJ0304)

Hybrid Geometric Calibration Method for Multi-platform Spaceborne SAR Image with Sparse GCPs

LÜ Guannan1,2, TANG Xinming2, AI Bo1, LI Tao2, CHEN Qianfu2   

  1. 1. College of Geomatics, Shandong University of Science and Technology, Qingdao 266590, China;
    2. Satellite Surveying and Mapping Application Center, NASG, Beijing 100048, China
  • Received:2017-06-01 Revised:2018-01-21 Online:2018-07-20 Published:2018-07-25
  • Supported by:
    The National Key Research and Development Programme of China (No. 2017YFB0502700);The National Natural Science Foundation of China(No. 41401529);Civilian Space Programme of China (No. D010102);The National Basic Surveying and Mapping Science and Technology Project (Nos. 2018KJ0204;2018KJ0304)

摘要: 几何定标采用地面控制点获取距离-多普勒模型中的精确几何参数,用于完成星载SAR影像高精度几何定位。但在广域范围内,特别是高山地区域,控制点极难获取。此外,传统定标方法仅面向单一平台SAR影像,尚不能实现多平台影像的联合几何定标。针对上述问题,本文提出一种基于稀少控制的多平台星载SAR联合几何定标方法。该方法从包含实测控制点的主影像出发,使用点位追踪算法获取主影像与从影像之间的连接点,并以连接点为桥梁逐级完成从影像的几何定标。本文采用京津冀地区南北向分布共计235 km的3景TerraSAR-X、3景TanDEM-X、5景高分三号影像进行联合几何定标试验,仅使用5个控制点即完成了所有影像的几何定标,并利用SF-3050星站差分GNSS接收机采集实测GPS点进行精度评价。结果表明使用稀少控制点定标后的TSX/TDX影像的几何定位精度优于3 m,GF-3影像的几何定位精度优于7.5 m,验证了该方法的有效性和正确性。

关键词: SAR影像, 几何定标, R-D模型, 多平台, 高分三号

Abstract: Geometric calibration is able to provide high-accuracy geometric coordinates of spaceborne SAR image through accurate geometric parameters in the Range-Doppler model by ground control points (GCPs).However, it is very difficult to obtain GCPs that covering large-scale areas, especially in the mountainous regions.In addition, the traditional calibration method is only used for single platform SAR images and can't support the hybrid geometric calibration for multi-platform images.To solve the above problems, a hybrid geometric calibration method for multi-platform spaceborne SAR images with sparse GCPs is proposed in this paper.First, we calibrate the master image that contains GCPs.Secondly, the point tracking algorithm is used to obtain the tie points (TPs) between the master and slave images.Finally, we calibrate the slave images using TPs as the control points.We take the Beijing-Tianjin-Hebei region as an example to study SAR image hybrid geometric calibration method using 3 TerraSAR-X images, 3 TanDEM-X images and 5 GF-3 images covering more than 235 kilometers in the north-south direction.Geometric calibration of all images is completed using only 5 GCPs.The GPS data extracted from GNSS receiver are used to assess the plane accuracy after calibration.The results after geometric calibration with sparse GCPs show that the geometric positioning accuracy is 3 m for TSX/TDX images and 7.5 m for GF-3 images.

Key words: SAR image, geometric calibration, R-D model, multi-platform, GF-3

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