SAR Interferometric Baseline Refinement Based on Flat-Earth Phase without a Ground Control Point

被引:19
作者
Xu, Bing [1 ]
Li, Zhiwei [1 ]
Zhu, Yan [1 ]
Shi, Jiancun [1 ]
Feng, Guangcai [1 ]
机构
[1] Cent South Univ, Sch Geosci & Infophys, Changsha 410083, Peoples R China
基金
中国国家自然科学基金;
关键词
synthetic aperture radar interferometry; InSAR baseline estimation; flat-earth phase; baseline refinement; TOPOGRAPHY MISSION; SHUTTLE RADAR; ERRORS; INSAR;
D O I
10.3390/rs12020233
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Interferometric baseline estimation is a key procedure of interferometric synthetic aperture radar (SAR) data processing. The error of the interferometric baseline affects not only the removal of the flat-earth phase, but also the transformation coefficient between the topographic phase and elevation, which will affect the topographic phase removal for differential interferometric SAR (D-InSAR) and the accuracy of the final generated digital elevation model (DEM) product for interferometric synthetic aperture (InSAR). To obtain a highly accurate interferometric baseline, this paper firstly investigates the geometry of InSAR imaging and establishes a rigorous relationship between the interferometric baseline and the flat-earth phase. Then, a baseline refinement method without a ground control point (GCP) is proposed, where a relevant theoretical model and resolving method are developed. Synthetic and real SAR datasets are used in the experiments, and a comparison with the conventional least-square (LS) baseline refinement method is made. The results demonstrate that the proposed method exhibits an obvious improvement over the conventional LS method, with percentages of up to 51.5% in the cross-track direction. Therefore, the proposed method is effective and advantageous.
引用
收藏
页数:17
相关论文
共 37 条
[1]   Reliable estimation of orbit errors in spaceborne SAR interferometry The network approach [J].
Baehr, Hermann ;
Hanssen, Ramon F. .
JOURNAL OF GEODESY, 2012, 86 (12) :1147-1164
[2]   Validation of the shuttle radar topography mission height data [J].
Brown, CG ;
Sarabandi, K ;
Pierce, LE .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2005, 43 (08) :1707-1715
[3]  
[戴吾蛟 Dai Wujiao], 2006, [大地测量与地球动力学, Journal of Geodesy and Geodynamics], V26, P30
[4]  
Fan H., 2009, J GEOD GEODYN, V3, P135
[5]  
Farr TG., 2000, EOS T AM GEOPHYS UN, V81, P583585, DOI [DOI 10.1029/EO081I048P00583, 10.1029/eo081i048p00583]
[6]   Calibration of an InSAR-Derived Coseimic Deformation Map Associated With the 2011 Mw-9.0 Tohoku-Oki Earthquake [J].
Feng, Guangcai ;
Ding, Xiaoli ;
Li, Zhiwei ;
Mi, Jiang ;
Zhang, Lei ;
Omura, Makoto .
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2012, 9 (02) :302-306
[7]   MAPPING SMALL ELEVATION CHANGES OVER LARGE AREAS - DIFFERENTIAL RADAR INTERFEROMETRY [J].
GABRIEL, AK ;
GOLDSTEIN, RM ;
ZEBKER, HA .
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH AND PLANETS, 1989, 94 (B7) :9183-9191
[8]   THE WAVE-NUMBER SHIFT IN SAR INTERFEROMETRY [J].
GATELLI, F ;
GUARNIERI, AM ;
PARIZZI, F ;
PASQUALI, P ;
PRATI, C ;
ROCCA, F .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1994, 32 (04) :855-865
[9]   Radar interferogram filtering for geophysical applications [J].
Goldstein, RM ;
Werner, CL .
GEOPHYSICAL RESEARCH LETTERS, 1998, 25 (21) :4035-4038
[10]   THE TRUNCATED SVD AS A METHOD FOR REGULARIZATION [J].
HANSEN, PC .
BIT, 1987, 27 (04) :534-553