[1]花奋奋,张继贤,黄国满,等.基于严密模型的多基线InSAR高程反演方法[J].南京理工大学学报(自然科学版),2014,38(06):726.
 Hua Fenfen,Zhang Jixian,Huang Guoman,et al.Multi-baseline InSAR elevation inversion method based on rigorous model[J].Journal of Nanjing University of Science and Technology,2014,38(06):726.
点击复制

基于严密模型的多基线InSAR高程反演方法
分享到:

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

卷:
38卷
期数:
2014年06期
页码:
726
栏目:
出版日期:
2014-12-31

文章信息/Info

Title:
Multi-baseline InSAR elevation inversion method based on rigorous model
作者:
花奋奋12张继贤2黄国满2王萌萌2
1.中国矿业大学 环境与测绘学院,江苏 徐州 221116; 2.中国测绘科学研究院,北京 100830
Author(s):
Hua Fenfen12Zhang Jixian2Huang Guoman2Wang Mengmeng2
1.School of Environmental Science and Spatial Informatics,China University of Mining and Technology, Xuzhou 221116,China; 2.Chinese Academy of Surveying and Mapping,Beijing 100830,China
关键词:
严密模型 多基线 干涉 合成孔径雷达 高程反演方法 三维重建模型 机载数据实验 星载数据实验
Keywords:
rigorous model multi-baseline interferometry synthetic aperture radar elevation inversion method three-dimensional reconstruction model airborne data experiments spaceborne data experiments
分类号:
P231
摘要:
针对常用多基线干涉合成孔径雷达(InSAR)高程反演方法基于简化模型、精度低、计算量大的问题,该文提出一种新的多基线InSAR高程反演方法。该方法引入严密几何关系的三维重建模型,并添加干涉相位的整周期数作为求解参数,迭代求解目标点的三维坐标。由于该方法采用目标点三维坐标信息连接不同干涉数据,明显降低了系统误差对整周期数求解的影响,因此较常用多基线InSAR高程反演方法更具可靠性。机载数据实验结果表明:对于定标数据,该文方法结果的精度与最大似然高程估计(MLHE)方法相同; 对于未定标数据,该文方法结果的精度优于MLHE方法; MLHE方法的数据处理时间为该文方法的6~7倍。在星载数据实验中,MLHE方法耗时351 s,该文方法耗时14 s。
Abstract:
In order to solve the problems that the existing multi-baseline interferometric synthetic aperture radar(InSAR)elevation inversion methods are mostly based on simplified models and have low accuracy and large calculation,a new multi-baseline InSAR elevation inversion method is proposed here.This method introduces a three-dimensional reconstruction model with rigorous geometric relationship and uses the number of integral periods of interferometric phases as a parameter to solve the three-dimensional(3D)coordinates of the target iteratively.By adopting the 3D coordinate information of targets to connect different interferometric data,the method proposed here weakens the effects of system errors on solving the number of integral periods obviously and is more reliable than conventional multi-baseline InSAR elevation inversion methods.The airborne data experiment results show that:for calibrated data,the accuracy of the method proposed here is the same as that of the maximum likelihood height estimation(MLHE)method; for initial data,the accuracy of the method proposed here is better than that of the MLHE method; the data processing time of the MLHE method is 6-7 times as long as that of the method proposed here.The spaceborne data experimental results show that,the MLHE method takes 351 seconds and the method proposed here takes 14 seconds.

参考文献/References:

[1] lombardini F.Absolute phase retrieval in a three-element synthetic aperture radar interferometer[A].CIE International Conference of Radar[C].Beijing:IEEE,1996:309-312.
[2]Li Zhenfang,Bao Zheng,Li Hai,et al.Image autocoregistration and InSAR interferogram estimation using joint subspace projection[J].IEEE Transactions on Geoscience and Remote Sensing,2006,44(2):288-297.
[3]李海.干涉合成孔径雷达信号处理若干关键问题研究[D].西安:西安电子科技大学电子工程学院,2008.
[4]毛志杰.干涉合成孔径雷达信号处理方法研究[D].西安:西安电子科技大学电子工程学院,2009.
[5]Pascazio V,Schirinzi G.Estimation of terrain elevation by multifrequency interferometric wide band SAR data[J].IEEE Signal Processing Letters,2001,8(1):7-9.
[6]Ferraiuolo G,Pascazio V,Schirinzi G.Maximum a posteriori estimation of height profiles in InSAR imaging[J].IEEE Geoscience and Remote Sensing Letters,2004,1(2):66-70.
[7]Shabou A,Tupin F.A Markovian approach for DEM estimation from multiple InSAR data with atmospheric contributions[J].IEEE Geoscience and Remote Sensing Letters,2012,9(4):764-768.
[8]袁志辉,邓云凯,李飞,等.改进的基于最大似然估计的多通道InSAR高程重建方法[J].电子与信息学报,2013,35(9):2161-2167. Yuan Zhihui,Deng Yunkai,Li Fei,et al.Improved multichannel InSAR height reconstruction method based on maximum likelihood estimation[J].Journal of Electronics and Information Technology,2013,35(9):2161-2167.
[9]李洁.星载InSAR多基线干涉测高及编队优化设计方法研究[D].长沙:国防科学技术大学电子科学与工程学院,2007.

备注/Memo

备注/Memo:
收稿日期:2014-04-11 修回日期:2014-08-11
基金项目:国家“863”计划资助项目(2011AA120405)
作者简介:花奋奋(1985-),男,博士生,主要研究方向:InSAR和多基线InSAR高程信息反演,E-mail:huafenfen_hff@163.com; 通讯作者:张继贤(1965-),男,研究员,博士生导师,主要研究方向:摄影测量与遥感、地理信息系统、资源与环境遥感监测,E-mail:zhangjx@casm.ac.cn。
引文格式:花奋奋,张继贤,黄国满,等.基于严密模型的多基线InSAR高程反演方法[J].南京理工大学学报,2014,38(6):726-732.
投稿网址:http://zrxuebao.njust.edu.cn
更新日期/Last Update: 2014-12-31