Topographic phase recovery from stacked ERS interferometry and a low-resolution digital elevation model

被引:37
|
作者
Sandwell, DT [1 ]
Sichoix, L [1 ]
机构
[1] Univ Calif San Diego, Scripps Inst Oceanog, La Jolla, CA 92093 USA
关键词
D O I
10.1029/2000JB900340
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
A hybrid approach to topographic recovery from ERS interferometry is developed and assessed. Tropospheric/ionospheric artifacts, imprecise orbital information, and layover are key issues in recovering topography and surface deformation from repeat-pass interferometry. Previously, we developed a phase gradient approach to stacking interferograms to reduce these errors and also to reduce the short-wavelength phase noise (see Sandwell and Pi-ice [1998] and Appendix A). Here the method is extended to use a low-resolution digital elevation model to constrain long-wavelength phase errors and an iteration scheme to minimize errors in the computation of phase gradient. We demonstrate the topographic phase recovery on 16-m postings using 25 ERS synthetic aperture radar images from an area of southern California containing 2700 m of relief. On the basis of a comparison with 81 GPS monuments, the ERS-derived topography has a typical absolute accuracy of better than 10 m except in areas of layover. The resulting topographic phase enables accurate two-pass, real-time interferometry even in mountainous areas where traditional phase unwrapping schemes fail. As an example, we form a topography-free (127-m perpendicular baseline) interferogram spanning 7.5 years; fringes from two major earthquakes and aseismic slip on the San Andreas Fault are clearly isolated.
引用
收藏
页码:28211 / 28222
页数:12
相关论文
共 50 条
  • [21] INFLUENCE OF THE RESOLUTION OF DIGITAL ELEVATION MODEL IN DETERMINING THE TOPOGRAPHIC WETNESS INDEX AND ABILITY TO PREDICT THE SOIL ORGANIC CARBON CONTENT
    Capoane, Viviane
    Tiecher, Tales
    Rasche Alvarez, Jimmy Walter Rasche
    Pellegrini, Andre
    Schaefer, Gilmar Luiz
    Cordeiro Santos, Leonardo Jose
    dos Santos, Danilo Rheinheimer
    GEO UERJ, 2015, (27): : 144 - 155
  • [22] Recognition of very low-resolution characters from motion images captured by a portable digital camera
    Yanadume, S
    Mekada, Y
    Ide, I
    Murase, H
    ADVANCES IN MULTIMEDIA INFORMATION PROCESSING - PCM 2004, PT 1, PROCEEDINGS, 2004, 3331 : 247 - 254
  • [24] STATISTICAL EMULATION OF HIGH-RESOLUTION SAR WIND FIELDS FROM LOW-RESOLUTION MODEL PREDICTIONS
    He, Liyun
    Chapron, Bertrand
    Tournadre, Jean
    Fablet, Ronan
    2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2014, : 3914 - 3917
  • [25] Fine-Tuning of Mach-Zehnder Phase Using Low-Resolution Digital-to-Analog Converters
    Lee, Benjamin G.
    Dupuis, Nicolas
    Proesel, Jonathan E.
    Ainspan, Herschel
    Baks, Christian W.
    IEEE PHOTONICS TECHNOLOGY LETTERS, 2019, 31 (19) : 1573 - 1575
  • [26] High-resolution parallel phase-shifting digital holography using a low-resolution phase-shifting array device based on image inpainting
    Jiao, Shuming
    Zou, Wenbin
    OPTICS LETTERS, 2017, 42 (03) : 482 - 485
  • [27] From lows to highs: using low-resolution models to phase X-ray data
    Stuart, David I.
    Abrescia, Nicola G. A.
    ACTA CRYSTALLOGRAPHICA SECTION D-STRUCTURAL BIOLOGY, 2013, 69 : 2257 - 2265
  • [28] Linac model optimisation loop enables high-resolution dose reconstruction from low-resolution measurements
    Godart, J.
    Visser, R.
    Wauben, D. J. L.
    Van ' t Veld, A. A.
    Korevaar, E. W.
    RADIOTHERAPY AND ONCOLOGY, 2014, 111 : S177 - S177
  • [29] Time Series Analysis of the Digital Elevation Model of Kuwait Derived from Synthetic Aperture Radar Interferometry
    Rao, K. S.
    Al Jassar, Hala K.
    PERSONAL SATELLITE SERVICES, 2010, 43 : 396 - 406
  • [30] Secure Hybrid Digital and Analog Precoder for mmWave Systems With Low-Resolution DACs and Finite-Quantized Phase Shifters
    Xu, Ling
    Sun, Linlin
    Xia, Guiyang
    Liu, Tingting
    Shu, Feng
    Zhang, Yijin
    Wang, Jiangzhou
    IEEE ACCESS, 2019, 7 : 109763 - 109775