Analyzing decorrelation of multi-temporal SAR data on InSAR

被引：2
|
作者：
Hao Bingyuan [1 ]
Ma Chao [2 ]
Zhang Guifang [3 ]
Kang Lixun [1 ]
机构：
[1] Taiyuan Univ Technol, Sch Min Engn, Taiyuan 030024, Peoples R China
[2] Henan Polytech Univ, Sch Surveying & Land Informat Engn, Jiaozuo 454000, Peoples R China
[3] China Earthquake Adm, Inst Geol, State Key Lab Earthquake Dynam, Beijing 100029, Peoples R China
来源：
CISP 2008: FIRST INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOL 1, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/CISP.2008.383
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Coherence is an important parameter, which appraises quality of topical interferometery fringe and reflects the volume scatter information in InSAR. So it is important for generation of DEM, classification of surface features, estimation of backscatter layers, and quality of differential interferometery processing. In this paper, all kinds of factors, such as spatial and temporal decorrelation, thermal decorrelation, coregistraion decorrelation, Doppler decorrelation, influences on the coherence during InSAR processing are expatiated. Based on the practice of interferometery processing to 28 SAR images coming from Ms8.1 serious earthquake area which located in KUNLUN mountains West-pass bordering QINGHAI and XIZANG province in 14(th) Dec., 2001; and 5 SAR images coming from Ms7.9 serious earthquake area which located in Tibet North MANI region in 8(th) Nov., 1997; and 8 cog-nominal ERS-1/2 SAR images of environmental investigation on DATONG Jurassic & Carboniferous period coalfield subsidence by InSAR technology during 1992 to 2003, and influencing degree of these factors on InSAR processing are analyzed. Moreover, laws of decorrelation are concluded and some suggestions for reducing the decorrelation are brought forward.
引用
收藏
页码：452 / +
页数：3
相关论文
共 50 条
  • [1] Hazard mapping with multi-temporal SAR and InSAR
    Wiesmann, A
    Wegmüller, U
    Honikel, M
    Strozzi, T
    Werner, CL
    [J]. PROCEEDINGS OF THE THIRD INTERNATIONAL SYMPOSIUM ON RETRIEVAL OF BIO- AND GEOPHYSICAL PARAMETERS FROM SAR DATA FOR LAND APPLICATIONS, 2002, 475 : 133 - 138
  • [2] A Comparison of InSAR Techniques for Deformation Monitoring using Multi-temporal SAR
    Kim, Sang-Wan
    [J]. KOREAN JOURNAL OF REMOTE SENSING, 2010, 26 (02) : 143 - 151
  • [3] AN ADAPTIVE MULTILOOKING SCHEME FOR MULTI-TEMPORAL INSAR DATA
    Zhao, Feng
    Mallorqui, Jordi J.
    [J]. IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 2204 - 2207
  • [4] PRELIMINARY RESULTS OF TEMPORAL DEFORMATION ANALYSIS IN ISTANBUL USING MULTI-TEMPORAL INSAR WITH SENTINEL-1 SAR DATA
    Imamoglu, Mumin
    Abdikan, Saygin
    Kahraman, Fatih
    [J]. IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 1352 - 1355
  • [5] Automated calibration of multi-temporal ERS SAR data
    Bovenga, F
    Refice, A
    Nutricato, R
    Pasquariello, G
    De Carolis, G
    [J]. IGARSS 2002: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM AND 24TH CANADIAN SYMPOSIUM ON REMOTE SENSING, VOLS I-VI, PROCEEDINGS: REMOTE SENSING: INTEGRATING OUR VIEW OF THE PLANET, 2002, : 3655 - 3657
  • [6] Monitoring vegetation features with multi-temporal SAR data
    Amodeo, G
    deMatthaeis, P
    Ferrazzoli, P
    Paloscia, S
    Pampaloni, P
    [J]. IGARSS '96 - 1996 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM: REMOTE SENSING FOR A SUSTAINABLE FUTURE, VOLS I - IV, 1996, : 736 - 738
  • [7] Discrimination of glacier facies using multi-temporal SAR data
    Partington, KC
    [J]. JOURNAL OF GLACIOLOGY, 1998, 44 (146) : 42 - 53
  • [8] TOWARDS HIGH-PRECISION FLOOD MAPPING: MULTI-TEMPORAL SAR/INSAR DATA, BAYESIAN INFERENCE, AND HYDROLOGIC MODELING
    Refice, A.
    D'Addabbo, A.
    Pasquariello, G.
    Lovergine, F. P.
    Capolongo, D.
    Manfreda, S.
    [J]. 2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2015, : 1381 - 1384
  • [9] Urban monitoring using multi-temporal SAR and multi-spectral data
    Gomez-Chova, L
    Fernández-Prieto, D
    Calpe, J
    Soria, E
    Vila, J
    Camps-Valls, G
    [J]. PATTERN RECOGNITION LETTERS, 2006, 27 (04) : 234 - 243
  • [10] FEATURE EXTRACTION USING MULTI-TEMPORAL FULLY POLARIMETRIC SAR DATA
    Ramya, M. N. S.
    Kumar, Shashi
    [J]. LAND SURFACE AND CRYOSPHERE REMOTE SENSING III, 2016, 9877
12345