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
下载
收藏
页码:28211 / 28222
页数:12
相关论文
共 50 条
  • [1] Extracting low-resolution river networks from high-resolution digital elevation models
    Olivera, F
    Lear, MS
    Famiglietti, JS
    Asante, K
    WATER RESOURCES RESEARCH, 2002, 38 (11)
  • [2] Effect of digital elevation model resolution on topographic correction of airborne SAR
    Goyal, SK
    Seyfried, MS
    O'Neill, PE
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 1998, 19 (16) : 3075 - 3096
  • [3] Symmetry of post-movement beta-ERS and motor recovery from stroke:: a low-resolution EEG pilot study
    Eder, C. F.
    Sokic, D.
    Covickovic-Sternic, N.
    Mijajlovic, M.
    Savic, M.
    Sinkjær, T.
    Popovic, D. B.
    EUROPEAN JOURNAL OF NEUROLOGY, 2006, 13 (12) : 1312 - 1323
  • [4] Reconstruction of Smooth Contours from Low Resolution Digital Elevation Model Data
    Goto, H.
    Ishige, T.
    Shimakawa, Y.
    2015 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEM), 2015, : 421 - 425
  • [5] Uncertainty in primary and secondary topographic attributes caused by digital elevation model spatial resolution
    Salekin, Serajis
    Lad, Priscilla
    Morgenroth, Justin
    Dickinson, Yvette
    Meason, Dean F.
    CATENA, 2023, 231
  • [7] STIRER: A Unified Model for Low-Resolution Scene Text Image Recovery and Recognition
    Zhao, Minyi
    Xuyang, Shijie
    Guan, Jihong
    Zhou, Shuigeng
    PROCEEDINGS OF THE 31ST ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA, MM 2023, 2023, : 7530 - 7539
  • [8] Application of ERS and Envisat cross-interferometry to generation and accuracy assessment of digital elevation model over northern Alaska
    Lee, Won-Jin
    Jung, Hyung-Sup
    Lu, Zhong
    Journal of Applied Remote Sensing, 2015, 9 (01)
  • [9] Application of ERS and Envisat cross-interferometry to generation and accuracy assessment of digital elevation model over northern Alaska
    Lee, Won-Jin
    Jung, Hyung-Sup
    Lu, Zhong
    JOURNAL OF APPLIED REMOTE SENSING, 2015, 9
  • [10] Differences in topographic characteristics computed from 100-and 1000-m resolution digital elevation model data
    Wolock, DM
    McCabe, GJ
    HYDROLOGICAL PROCESSES, 2000, 14 (06) : 987 - 1002