Please wait a minute...
img

官方微信

遥感技术与应用  2008, Vol. 23 Issue (1): 72-76    DOI: 10.11873/j.issn.1004-0323.2008.1.72
图像处理     
基于外部DEM的InSAR图像配准方法研究
刘 广,郭华东,范景辉
(中国科学院遥感应用研究所遥感科学国家重点实验室,北京 100101)
DEM Based SAR Image Registration Method
LIU Guang,GUO Hua-dong,FAN Jin-hui
(State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications,
Chinese Academy of Sciences and Beijing Normal University, Beijing100101, China)
 全文: PDF(1686 KB)  
摘要:

雷达图像的配准是进行雷达干涉测量(SAR Interferometry, InSAR)处理的关键,为了保证干涉相位图或形变相位图反映真实地面特性,需要雷达图像之间亚像元级精度的配准。首先综述了已有的基于外部DEM的InSAR图像配准方法的思路及其不足之处,并提出了一种全新的思路:以图像之间的相干性作为目标函数,利用搜索的方法实现了雷达成像方位向和距离向的最优时间常数的估计,从而实现雷达图像之间亚像元级配准;还进一步推导了数字高程模型(Digital Elevation Model, DEM)的误差对算法精度影响的一个更加严密的表示。结论表明,在利用精确轨道数据的情况下,美国航天飞机测地计划SRTM获得的地形数据的精度可以满足精确雷达图像配准的要求。结果表明,利用基于外部DEM算法配准雷达图像在山区和大的时间基线情况下要优于常规相干多项式配准方法,理论上可以达到百分之一个像素的配准精度。

关键词: 干涉测量图像配准外部DEM亚像元精度    
Abstract:

SAR images registration is an important step in SAR interferometry technology, a sub-pixel accuracy of the registration step is necessary to obtain a phase interferogram that truly reflects the elevation or deformation of the target on the ground. This paper introduces the basic conception of external DEM based SAR image registration method and gives an analytical expression of sensitivity analysis in respect of DEM error effect. The paper realizes the processing flow of SAR registration method and implements the subpixel precision registration of SAR images. The ERS datum is used as validation, and the results show that 1% pixels registration accuracy can be archieved by using precise orbit and SRTM as external DEM, this image registration method is especially useful in the situation of big temporal baseline and large geometric baseline.

Key words: SAR Interferometry (InSAR)    Image registration    SRTM    Subpixel accuracy
收稿日期: 2007-09-06 出版日期: 2011-10-24
:  TP722.6  
基金资助:

863计划(2003AA135080)资助项目。

作者简介: 刘广(1979-),男,博士研究生,研究方向为雷达遥感与应用、雷达干涉测量。E-mail:liug@tsinghua.org.cn。
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  

引用本文:

刘 广,郭华东,范景辉. 基于外部DEM的InSAR图像配准方法研究[J]. 遥感技术与应用, 2008, 23(1): 72-76.

LIU Guang,GUO Hua-dong,FAN Jin-hui. DEM Based SAR Image Registration Method. Remote Sensing Technology and Application, 2008, 23(1): 72-76.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2008.1.72        http://www.rsta.ac.cn/CN/Y2008/V23/I1/72

[1] Rodriguez E, Martin J M. Theory and Design of Interferometric Synthetic Aperture Radars[J].IEE Proc.F,1992,139(2):147-159.
[2] Massonnet D, Rabaute T. Radar Interferometry:Limits and Potential[J].IEEE Transactions on Geoscience and Remote Sensing,1993,31(2):455-464.
[3] Just D,Bamler R.Phase Statistics of Interferograms with Applications to Synthetic Aperture Radar[J].Applied Optics,1994,33(20):4361-4368.
[4] Rosenfeld A,Kak A C.Digital Picture Processing[M].Academic Press,Orlando,FL,USA,1982.
[5] Li F K,Goldstein R M.Studies of Multibaseline Spaceborne Interferometric Synthetic Aperture Radars[J].IEEE Transactions on Geoscience and Remote Sensing,1990,28(1):88-97.
[6] Ferretti A,Prati C,Rocca F,etal. Nonlinear Subsidence Rate Estimation Using Permanent Scatterers in Differential SAR Interferometry[J].IEEE Transactions on Geoscience and Remote Sensing,2000,38(5):2202-2212.
[7] Ferretti A,Prati C,Rocca F,et al. Permanent Scatterers in SAR Interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing,2001,39(1):8-20.
[8] Zebker H A,Villasenor J.Décorrelation in Interferometric Radar Echoes[J].IEEE Transactions on Geoscience and Remote Sensing,1992,30(5):950-959.
[9] Massonnet D,Feigl K L.Radar Interferometry and Its Application to Changes in the Earth's Surface[J].Reviews of Geophysics,1998,36(4):441-500.
[10] Adam N,Kampes B M,Eineder M,et al.The Development of a Scientific Permanent Scatterer System[A].In Proceedings of ISPRS Workshop High Resolution Mapping from Space [C].Hannover,Germany,2003.
[11] Sansosti E,Berardino P,Manunta M,et al. Geometrical SAR Image Registration[J].IEEE Transactions on Geoscience and Remote Sensing,2006,44(10):2861-2870.
[12] Gabriel A K,Goldstein R M.Crossed Orbit Interferometry:Theory and Experimental Results from SIR-B[J]. International Journal of Remote Sensing,1988,9:857-872.
[13] Li F,Goldstein R.Studies of Multi-baseline Spaceborne Interferometric Synthetic Aperture Radars[J].IGARSS '87,1987,2:1545-1550.

[1] 高胜,曾琪明,焦健,童庆禧. 永久散射体雷达干涉研究综述[J]. 遥感技术与应用, 2016, 31(1): 86-94.
[2] 侯鹏洋,季艳,高峰,胡蕾. 一种基于SIFT特征的快速逐层遥感图像配准方法[J]. 遥感技术与应用, 2014, 29(5): 873-877.
[3] 雷坤超,贾三满,陈蓓蓓,罗勇,韩征. 基于PS-InSAR技术的廊坊市地面沉降监测研究[J]. 遥感技术与应用, 2013, 28(6): 1114-1119.
[4] 陈本清,杨燕明,郑凌虹,文洪涛. 基于SIFT和TPS算法的四旋翼无人机图像自动配准[J]. 遥感技术与应用, 2013, 28(4): 604-609.
[5] 汤益先,赫永杰,张红,王超. 基于FFT平移与相关分析的多尺度星载SAR自动配准[J]. 遥感技术与应用, 2013, 28(4): 618-626.
[6] 张薇,靳国旺,向茂生. 大区域稀疏控制条件下的多条带InSAR数据的联合定标研究[J]. 遥感技术与应用, 2013, 28(1): 18-26.
[7] 欧阳能钧,李伟彤,韦蔚,潘晴. 基于SIFT与Contourlet变换的高分辨遥感图像配准[J]. 遥感技术与应用, 2013, 28(1): 58-64.
[8] 刘金龙,郭华东,宋 瑞,Zbigniew Perski,刘 广,赵 峰,范景辉,闫世勇,阮智星. 多模式雷达在矿区沉降监测中的应用研究[J]. 遥感技术与应用, 2012, 27(4): 584-590.
[9] 周 刚, 许德伟, 杨燕明, 刘贞文, 傅世锋. 基于IDL语言与控制点影像数据库的图像自动配准技术研究[J]. 遥感技术与应用, 2010, 25(5): 627-631.
[10] 张薇,向茂生,吴一戎. 基于三维重建模型的机载双天线干涉SAR外定标方法及实现[J]. 遥感技术与应用, 2009, 24(1): 82-87.
[11] 吴宏安,张红,王超,汤益先. 沿海地区不同空间尺度的典型地物相干性研究[J]. 遥感技术与应用, 2009, 24(1): 109-113.
[12] 程焱,周焰,林洪涛,潘恒辉. 基于SIFT特征遥感影像自动配准与拼接[J]. 遥感技术与应用, 2008, 23(6): 721-728.
[13] 刘子龙,董臻,蔡斌,孙造宇. 星载InSAR非相干图像对精确配准[J]. 遥感技术与应用, 2008, 23(4): 446-450.
[14] 张薇,向茂生,吴一戎. 基于正侧视模型的机载双天线干涉SAR外定标方法[J]. 遥感技术与应用, 2008, 23(3): 346-350.
[15] 霍春雷,周志鑫,刘青山,卢汉清. 基于SIFT特征和广义紧互对原型对距离的遥感图像配准方法[J]. 遥感技术与应用, 2007, 22(4): 524-530.