Ground deformation mapping by fusion of multi-temporal interferometric synthetic aperture radar images: a review

被引:17
作者
Zhang, Lei [1 ]
Ding, Xiaoli [1 ]
Lu, Zhong [2 ]
机构
[1] Hong Kong Polytech Univ, Land Surveying & Geoinformat, Kowloon, Hong Kong, Peoples R China
[2] So Methodist Univ, Roy M Huffington Dept Earth Sci, Dallas, TX 75275 USA
基金
中国国家自然科学基金;
关键词
InSAR; deformation monitoring; multi-temporal analysis;
D O I
10.1080/19479832.2015.1068874
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Interferometric synthetic aperture radar (InSAR) has emerged as a powerful geodetic imaging technique in the past two decades, focused on the retrieval of deformation, topography and even meteorological measurements by the analysis of phase components of complex-valued radar data. The strength of this technique lies in its abilities of all-weather, day and night data acquisition, high measurement accuracy and wide spatial scale. Although vast successful applications have been achieved, conventional InSAR technique possesses several limitations (e.g. decorrelation, phase unwrapping error and atmospheric artefacts), which, in turn, have motivated the development of advanced multi-temporal InSAR (MTInSAR) analysis techniques. Fusion of MTInSAR imagery of the same area has led to a marked improvement in the reliability and accuracy of derived products (e.g. deformation) and has also been important for gleaning dynamic signals of deformation over a wide range of temporal scales. This paper is intended to introduce the development of MTInSAR and provide a practical guidance to the users of the technique. Specially, cross-comparison among approaches employed by different MTInSAR techniques is conducted using either simulated or real datasets. We have addressed the weakness of each approach and highlighted the potential technical improvement.
引用
收藏
页码:289 / 313
页数:25
相关论文
共 58 条
  • [21] Temporal Filtering of InSAR Data Using Statistical Parameters From NWP Models
    Gong, Wenyu
    Meyer, Franz J.
    Liu, Shizhuo
    Hanssen, Ramon F.
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2015, 53 (07): : 4033 - 4044
  • [22] Hanssen R.F., 2001, EARTH ENV SCI REMOTE, VVolume 2
  • [23] Dynamics of slow-moving landslides from permanent scatterer analysis
    Hilley, GE
    Bürgmann, R
    Ferretti, A
    Novali, F
    Rocca, F
    [J]. SCIENCE, 2004, 304 (5679) : 1952 - 1955
  • [24] Persistent scatterer interferometric synthetic aperture radar for crustal deformation analysis, with application to Volcan Alcedo, Galapagos
    Hooper, A.
    Segall, P.
    Zebker, H.
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH, 2007, 112 (B7)
  • [25] A new method for measuring deformation on volcanoes and other natural terrains using InSAR persistent scatterers
    Hooper, A
    Zebker, H
    Segall, P
    Kampes, B
    [J]. GEOPHYSICAL RESEARCH LETTERS, 2004, 31 (23) : 1 - 5
  • [26] 3D coseismic Displacement of 2010 Darfield, New Zealand earthquake estimated from multi-aperture InSAR and D-InSAR measurements
    Hu, J.
    Li, Z. W.
    Ding, X. L.
    Zhu, J. J.
    Zhang, L.
    Sun, Q.
    [J]. JOURNAL OF GEODESY, 2012, 86 (11) : 1029 - 1041
  • [27] Fast Statistically Homogeneous Pixel Selection for Covariance Matrix Estimation for Multitemporal InSAR
    Jiang, Mi
    Ding, Xiaoli
    Hanssen, Ramon F.
    Malhotra, Rakesh
    Chang, Ling
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2015, 53 (03): : 1213 - 1224
  • [28] Improving InSAR geodesy using Global Atmospheric Models
    Jolivet, Romain
    Agram, Piyush Shanker
    Lin, Nina Y.
    Simons, Mark
    Doin, Marie-Pierre
    Peltzer, Gilles
    Li, Zhenghong
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH, 2014, 119 (03) : 2324 - 2341
  • [29] Kampes B.M., 2006, RADAR INTERFEROMETRY
  • [30] Ambiguity resolution for permanent scatterer interferometry
    Kampes, BM
    Hanssen, RF
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2004, 42 (11): : 2446 - 2453