星载InSAR技术在地质灾害监测领域的应用

云烨 吕孝雷 付希凯 薛飞扬

云烨, 吕孝雷, 付希凯, 等. 星载InSAR技术在地质灾害监测领域的应用[J]. 雷达学报, 2020, 9(1): 73–85. doi: 10.12000/JR20007
引用本文: 云烨, 吕孝雷, 付希凯, 等. 星载InSAR技术在地质灾害监测领域的应用[J]. 雷达学报, 2020, 9(1): 73–85. doi: 10.12000/JR20007
YUN Ye, LÜ Xiaolei, FU Xikai, et al. Application of spaceborne interferometric synthetic aperture radar to geohazard monitoring[J]. Journal of Radars, 2020, 9(1): 73–85. doi: 10.12000/JR20007
Citation: YUN Ye, LÜ Xiaolei, FU Xikai, et al. Application of spaceborne interferometric synthetic aperture radar to geohazard monitoring[J]. Journal of Radars, 2020, 9(1): 73–85. doi: 10.12000/JR20007

星载InSAR技术在地质灾害监测领域的应用

DOI: 10.12000/JR20007
基金项目: 国家自然科学基金(41801356),国家重点研发计划(2018YFC1505101)
详细信息
    作者简介:

    云 烨(1989–),女,博士,助理研究员。2015年在北京大学获得博士学位,现担任中国科学院空天信息创新研究院助理研究员。目前正在负责高分专项、国家自然科学基金、十三五预研等项目,主要研究方向为干涉处理及其应用,SAR 3维重建,InSAR大气校正,大气数值模式的应用。E-mail: yunye@aircas.ac.cn

    吕孝雷(1981–),男,中国科学院空天信息创新研究院研究员,博士生导师,中国科学院“百人计划”入选者。2009年在西安电子科技大学获得博士学位,2009年至2013年先后在新加坡南洋理工大学、美国伦斯勒理工学院从事博士后工作。主要研究方向为SAR数据处理、成像、运动目标检测、干涉SAR、遥感形变监测等,已在IEEE、IET等国外著名SCI期刊发表学术论文四十余篇。E-mail: academism2017@sina.com

    付希凯(1992–),男,博士,助理研究员。2019年在中国科学院电子学研究所获得博士学位,现担任中国科学院空天信息创新研究院助理研究员。主要研究方向为分布式干涉SAR数据预处理,干涉处理,几何定位。E-mail: xkfu@mail.ie.ac.cn

    薛飞扬(1993–),男,博士在读。2016年在电子科技大学电子工程学院获得学士学位,现在中国科学院大学攻读博士学位。主要研究方向为InSAR、时序InSAR关键技术研究及其应用。E-mail: xuefeiyang16@mails.ucas.ac.cn

    通讯作者:

    云烨 yunye@aircas.ac.cn

    吕孝雷 academism2017@sina.com

  • 中图分类号: P237

Application of Spaceborne Interferometric Synthetic Aperture Radar to Geohazard Monitoring

Funds: The National Natural Science Foundation of China (41801356), The National Key R&D Program of China (2018YFC1505101)
More Information
  • 摘要: 近年来,星载InSAR技术在地质灾害监测领域显示出越来越大的应用潜力。该文首先介绍了InSAR形变监测的原理;然后系统性回顾了InSAR技术的发展,分析了差分InSAR、时序InSAR等方法的技术特点和适用范围;进而从地质灾害监测应用的角度分析了InSAR技术在地震、滑坡、水利工程、地面沉降等领域的应用现状和发展趋势;最后总结了当前地灾监测应用中InSAR技术在大气效应校正、复杂地区形变信息获取、多维形变信息获取中的关键问题,以期服务于地质灾害动态监测与防治工作。从当前InSAR技术在地质灾害监测的应用来看,该技术正处在广泛的业务应用阶段,随着未来星载SAR卫星系统的发展和行业的驱动,必将发展成为一项成熟的高精度对地观测技术,对地质灾害监测产生巨大的影响。

     

  • 图  1  日本熊本地震形变结果

    Figure  1.  DInSAR deformation map of the Kumamoto earthquakes

    图  2  采用常规PSI技术和JSInSAR技术获得的四川地区某滑坡形变速率图

    Figure  2.  Deformation rate map of the landslide in Sichuan Province obtained by PSI and JSInSAR

    图  3  利用升轨数据获得的拉西瓦水电站周边形变速率图

    Figure  3.  Deformation map around the Laxiwa Hydropower Station obtained from the ascending orbit data

    图  4  利用降轨数据获得的拉西瓦水电站坝体及周边形变速率图

    Figure  4.  Deformation map of the dam and surrounding area of the Laxiwa Hydropower Station obtained from the descending orbit data

    图  5  拉西瓦水电站果卜岸坡区域形变速率图

    Figure  5.  Deformation rate map of the Guobu slope of the Laxiwa Hydropower Station

    图  6  北京市局部地区形变速率图

    Figure  6.  Deformation rate map of local areas in Beijing

  • [1] WILEY C A. Pulsed doppler radar methods and apparatus[P]. US, 3196436, 1965.
    [2] 廖明生, 林晖. 雷达干涉测量—原理与信号处理基础[M]. 北京: 测绘出版社, 2003: 32–35.

    LIAO Mingsheng and LIN Hui. Synthetic Aperture Radar Interferometry—Principle and Signal Processing[M]. Beijing: Surveying and Mapping Press, 2003: 32–35.
    [3] 秦小芳, 张华春, 张衡, 等. TerraSAR-X/TanDEM-X升降轨双基干涉模式获取DEM方法研究[J]. 雷达学报, 2018, 7(4): 487–497. doi: 10.12000/JR18022

    QIN Xiaofang, ZHANG Huachun, ZHANG Heng, et al. A high precision DEM generation method based on ascending and descending pass TerraSAR-X/TanDEM-X BiSAR data[J]. Journal of Radars, 2018, 7(4): 487–497. doi: 10.12000/JR18022
    [4] HANSSEN R F. Radar Interferometry: Data Interpretation and Error Analysis[M]. New York: Springer, 2001: 15–16.
    [5] FERRETTI A, PRATI C, and ROCCA F. Permanent scatterers in SAR interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing, 2001, 39(1): 8–20. doi: 10.1109/36.898661
    [6] STROZZI T, ANTONOVA S, GÜNTHER F, et al. Sentinel-1 SAR interferometry for surface deformation monitoring in low-land permafrost areas[J]. Remote Sensing, 2018, 10(9): 1360. doi: 10.3390/rs10091360
    [7] CARLÀ T, INTRIERI E, RASPINI F, et al. Perspectives on the prediction of catastrophic slope failures from satellite InSAR[J]. Scientific Reports, 2019, 9(1): 14137. doi: 10.1038/s41598-019-50792-y
    [8] GRANDIN R, VALLÉE M, and LACASSIN R. Rupture process of the MW 5.8 Pawnee, Oklahoma, earthquake from Sentinel‐1 InSAR and seismological data[J]. Seismological Research Letters, 2017, 88(4): 994–1004. doi: 10.1785/0220160226
    [9] LEE S and LEE C W. Analysis of the relationship between volcanic eruption and surface deformation in volcanoes of the Alaskan Aleutian Islands using SAR interferometry[J]. Geosciences Journal, 2018, 22(6): 1069–1080. doi: 10.1007/s12303-018-0050-z
    [10] GOLDSTEIN R M, ENGELHARDT H, KAMB B, et al. Satellite radar interferometry for monitoring ice sheet motion: Application to an Antarctic ice stream[J]. Science, 1993, 262(5139): 1525–1530. doi: 10.1126/science.262.5139.1525
    [11] 刘国祥, 陈强, 罗小军, 等. 永久散射体雷达干涉理论与方法[M]. 北京: 科学出版社, 2012: 23–36.

    LIU Guoxiang, CHEN Qiang, LUO Xiaojun, et al. Permanent Scatterer Radar Interference Theory and Method[M]. Beijing: Science Press, 2012: 23–36.
    [12] 陈富龙, 林珲, 程世来. 星载雷达干涉测量及时间序列分析的原理、方法与应用[M]. 北京: 科学出版社, 2013: 22–23, 53–56.

    CHEN Fulong, LIN Hui, and CHENG Shilai. Principles, Methods and Applications of Spaceborne Radar Interferometry and Time Series Analysis[M]. Beijing: Science Press, 2013: 22–23, 53–56.
    [13] COSTANTINI M, FALCO S, MALVAROSA F, et al. A new method for identification and analysis of persistent scatterers in series of SAR images[C]. 2008 IEEE International Geoscience and Remote Sensing Symposium, Boston, USA, 2008. doi: 10.1109/IGARSS.2008.4779025.
    [14] WERNER C, WEGMULLER U, STROZZI T, et al. Interferometric point target analysis for deformation mapping[C]. 2003 IEEE International Geoscience and Remote Sensing Symposium, Toulouse, France, 2003. doi: 10.1109/IGARSS.2003.1295516.
    [15] FERRETTI A, FUMAGALLI A, NOVALI F, et al. A new algorithm for processing interferometric data-stacks: SqueeSAR[J]. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(9): 3460–3470. doi: 10.1109/TGRS.2011.2124465
    [16] LÜ Xiaolei, YAZICI B, ZEGHAL M, et al. Joint-Scatterer processing for time-series InSAR[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(11): 7205–7221. doi: 10.1109/TGRS.2014.2309346
    [17] HOOPER A, ZEBKER H, SEGALL P, et al. A new method for measuring deformation on volcanoes and other natural terrains using InSAR persistent scatterers[J]. Geophysical Research Letters, 2004, 31(23): L23611. doi: 10.1029/2004GL021737
    [18] KAMPES B and ADAM N. The STUN algorithm for persistent scatterer interferometry[C]. Fringe 2005 Workshop, Frascati, Italy, 2005: 16.
    [19] BERARDINO P, FORNARO G, LANARI R, et al. A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms[J]. IEEE Transactions on Geoscience and Remote Sensing, 2002, 40(11): 2375–2383. doi: 10.1109/TGRS.2002.803792
    [20] BLANCO-SÀNCHEZ P, MALLORQUÍ J J, DUQUE S, et al. The Coherent Pixels Technique (CPT): An advanced DInSAR technique for nonlinear deformation monitoring[J]. Pure and Applied Geophysics, 2008, 165(6): 1167–1193. doi: 10.1007/s00024-008-0352-6
    [21] CROSETTO M, BIESCAS E, DURO J, et al. Generation of advanced ERS and Envisat interferometric SAR products using the stable point network technique[J]. Photogrammetric Engineering & Remote Sensing, 2008, 74(4): 443–450. doi: 10.14358/PERS.74.4.443
    [22] FERRETTI A, PRATI C, and ROCCA F. Nonlinear subsidence rate estimation using permanent scatterers in differential SAR interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing, 2000, 38(5): 2202–2212. doi: 10.1109/36.868878
    [23] PARIZZI A and BRCIC R. Adaptive InSAR stack multilooking exploiting amplitude statistics: A comparison between different techniques and practical results[J]. IEEE Geoscience and Remote Sensing Letters, 2011, 8(3): 441–445. doi: 10.1109/LGRS.2010.2083631
    [24] MICHEL R, AVOUAC J P, and TABOURY J. Measuring ground displacements from SAR amplitude images: Application to the Landers earthquake[J]. Geophysical Research Letters, 1999, 26(7): 875–878. doi: 10.1029/1999GL900138
    [25] 廖明生, 张路, 史绪国, 等. 滑坡变形雷达遥感监测方法与实践[M]. 北京: 科学出版社, 2017: 103–134.

    LIAO Mingsheng, ZHANG Lu, SHI Xuguo, et al. Landslide Deformation Radar Remote Sensing Monitoring Method and Practice[M]. Beijing: Science Press, 2017: 103–134.
    [26] SIMONS M and ROSEN P A. 3.12-Interferometric synthetic aperture radar geodesy[J]. Treatise on Geophysics (Second Edition) , 2015, 3: 339–385.
    [27] STROZZI T, LUCKMAN A, MURRAY T, et al. Glacier motion estimation using SAR offset-tracking procedures[J]. IEEE Transactions on Geoscience and Remote Sensing, 2002, 40(11): 2384–2391. doi: 10.1109/TGRS.2002.805079
    [28] SANDWELL D T and PRICE E J. Phase gradient approach to stacking interferograms[J]. Journal of Geophysical Research: Solid Earth, 1998, 103(B12): 30183–30204. doi: 10.1029/1998JB900008
    [29] MASSONNET D, ROSSI M, CARMONA C, et al. The displacement field of the Landers earthquake mapped by radar interferometry[J]. Nature, 1993, 364(6433): 138–142. doi: 10.1038/364138a0
    [30] REID H F. The mechanics of the earthquake, the California earthquake of April 18, 1906[R]. 1910.
    [31] BONCORI J P M. Measuring coseismic deformation with spaceborne synthetic aperture radar: A Review[J]. Frontiers in Earth Science, 2019, 7: 16. doi: 10.3389/feart.2019.00016
    [32] MASSONNET D, FEIGL K L, VADON H, et al. Coseismic deformation field of the M=6.7 Northridge, California earthquake of January 17, 1994 recorded by two radar satellites using interferometry[J]. Geophysical Research Letters, 1994, 23(9): 969–972. doi: 10.1029/96GL00729
    [33] POLLITZ F F, WICKS C, and THATCHER W. Mantle flow beneath a continental strike-slip fault: Postseismic deformation after the 1999 Hector Mine earthquake[J]. Science, 2001, 293(5536): 1814–1818. doi: 10.1126/science.1061361
    [34] FIELDING E J, TALEBIAN M, ROSEN P A, et al. Surface ruptures and building damage of the 2003 Bam, Iran, earthquake mapped by satellite synthetic aperture radar interferometric correlation[J]. Journal of Geophysical Research: Solid Earth, 2005, 110(B3): B03302. doi: 10.1029/2004JB003299
    [35] SHEN Zhengkang, SUN Jianbao, ZHANG Peizhen, et al. Slip maxima at fault junctions and rupturing of barriers during the 2008 Wenchuan earthquake[J]. Nature Geoscience, 2009, 2(10): 718–724. doi: 10.1038/ngeo636
    [36] 沈强, 乔学军, 王琪, 等. 中国玉树MW6.9地震InSAR地表形变特征分析[J]. 大地测量与地球动力学, 2010, 30(3): 5–9.

    SHEN Qiang, QIAO Xuejun, WANG Qi, et al. Characteristic analysis of coseismic deformation of Yushu MW6.9 earthquake from InSAR images[J]. Journal of Geodesy and Geodynamics, 2010, 30(3): 5–9.
    [37] 王永哲. 利用GPS和InSAR数据反演2011年日本东北MW6.9地震断层的同震滑动分布[J]. 地震学报, 2015, 37(5): 796–805. doi: 10.11939/jass.2015.05.008

    WANG Yongzhe. Coseismic slip distribution of the 2011 Tohoku MW6.9 earthquake inferred from GPS and InSAR data[J]. Acta Seismologica Sinica, 2015, 37(5): 796–805. doi: 10.11939/jass.2015.05.008
    [38] 季灵运, 刘传金, 徐晶, 等. 九寨沟MS7.0地震的InSAR观测及发震构造分析[J]. 地球物理学报, 2017, 60(10): 4069–4082. doi: 10.6038/cjg20171032

    JI Lingyun, LIU Chuanjin, XU Jing, et al. InSAR observation and inversion of the seismogenic fault for the 2017 Jiuzhaigou MS7.0 earthquake in China[J]. Chinese Journal of Geophysics, 2017, 60(10): 4069–4082. doi: 10.6038/cjg20171032
    [39] ATZORI S, ANTONIOLI A, TOLOMEI C, et al. InSAR full-resolution analysis of the 2017–2018 M> 6 earthquakes in Mexico[J]. Remote Sensing of Environment, 2019, 234: 111461. doi: 10.1016/j.rse.2019.111461
    [40] GAUDREAU É, NISSEN E K, BERGMAN E A, et al. The August 2018 Kaktovik earthquakes: Active tectonics in northeastern Alaska revealed with InSAR and seismology[J]. Geophysical Research Letters, 2019, 46(24): 14412–14420. doi: 10.1029/2019GL085651
    [41] CRUDEN D M. A simple definition of a landslide[J]. Bulletin of the International Association of Engineering Geology, 1991, 43(1): 27–29. doi: 10.1007/BF02590167
    [42] FRUNEAU B, DELACOURT C, ACHACHE J, et al. Landslide monitoring in south of France with tandem data[C]. Proceedings of the 3rd ERS Symposium on Space at the Service of Our Environment, Florence, Italy, 1997.
    [43] XIA Ye, KAUFMANN H, GUO X F, et al. Landslide monitoring in the Three Gorges area using D-InSAR and corner reflectors[J]. Photogrammetric Engineering & Remote Sensing, 2004, 70(10): 1167–1172. doi: 10.14358/PERS.70.10.1167
    [44] DAI Keren, XU Qiang, LI Zhenhong, et al. Post-disaster assessment of 2017 catastrophic Xinmo landslide (China) by spaceborne SAR interferometry[J]. Landslides, 2019, 16(6): 1189–1199. doi: 10.1007/s10346-019-01152-4
    [45] WANG Guijie, WANG Yunlong, ZANG Xisheng, et al. Locating and monitoring of landslides based on small baseline subset interferometric synthetic aperture radar[J]. Journal of Applied Remote Sensing, 2019, 13(4): 044528. doi: 10.1117/1.JRS.13.044528
    [46] LI Lingjing, YAO Xin, YAO Jiaming, et al. Analysis of deformation characteristics for a reservoir landslide before and after impoundment by multiple D-InSAR observations at Jinshajiang River, China[J]. Natural Hazards, 2019, 98(2): 719–733. doi: 10.1007/s11069-019-03726-w
    [47] XUE Feiyang and LÜ Xiaolei. Applying time series interferometric synthetic aperture radar and the unscented Kalman filter to predict deformations in Maoxian landslide[J]. Journal of Applied Remote Sensing, 2019, 13(1): 014509. doi: 10.1117/1.JRS.13.014509
    [48] 许强, 董秀军, 李为乐. 基于天-空-地一体化的重大地质灾害隐患早期识别与监测预警[J]. 武汉大学学报: 信息科学版, 2019, 44(7): 957–966. doi: 10.13203/j.whugis20190088

    XU Qiang, DONG Xiujun, and LI Weile. Integrated space-air-ground early detection, monitoring and warning system for potential catastrophic geohazards[J]. Geomatics and Information Science of Wuhan University, 2019, 44(7): 957–966. doi: 10.13203/j.whugis20190088
    [49] 肖儒雅, 何秀凤. 时序InSAR水库大坝形变监测应用研究[J]. 武汉大学学报: 信息科学版, 2019, 44(9): 1334–1341. doi: 10.13203/j.whugis20170327

    XIAO Ruya and HE Xiufeng. Deformation monitoring of reservoirs and dams using time-series InSAR[J]. Geomatics and Information Science of Wuhan University, 2019, 44(9): 1334–1341. doi: 10.13203/j.whugis20170327
    [50] WANG Q Q, HUANG Q H, HE N, et al. Displacement monitoring of upper Atbara dam based on time series InSAR[J]. Survey Review, 2019. doi: 10.1080/00396265.2019.1643529
    [51] LI Menghua, ZHANG Lu, SHI Xuguo, et al. Monitoring active motion of the Guobu landslide near the Laxiwa Hydropower Station in China by time-series point-like targets offset tracking[J]. Remote Sensing of Environment, 2019, 221: 80–93. doi: 10.1016/j.rse.2018.11.006
    [52] MA Peifeng, WANG Weixi, ZHANG Bowen, et al. Remotely sensing large-and small-scale ground subsidence: A case study of the Guangdong–Hong Kong–Macao Greater Bay Area of China[J]. Remote Sensing of Environment, 2019, 232: 111282. doi: 10.1016/j.rse.2019.111282
    [53] FAROLFI G, DEL SOLDATO M, BIANCHINI S, et al. A procedure to use GNSS data to calibrate satellite PSI data for the study of subsidence: An example from the north-western Adriatic coast (Italy)[J]. European Journal of Remote Sensing, 2019, 52(sup4): 54–63. doi: 10.1080/22797254.2019.1663710
    [54] RATEB A and KUO C Y. Quantifying vertical deformation in the Tigris–Euphrates Basin due to the groundwater abstraction: Insights from GRACE and Sentinel-1 satellites[J]. Water, 2019, 11(8): 1658. doi: 10.3390/w11081658
    [55] 胡程, 董锡超, 李元昊. 大气层效应对地球同步轨道SAR系统性能影响研究[J]. 雷达学报, 2018, 7(4): 412–424. doi: 10.12000/JR18032

    HU Cheng, DONG Xichao, and LI Yuanhao. Atmospheric effects on the performance of geosynchronous orbit SAR systems[J]. Journal of Radars, 2018, 7(4): 412–424. doi: 10.12000/JR18032
    [56] 李亮, 洪峻, 明峰. 电离层对中高轨SAR影响机理研究[J]. 雷达学报, 2017, 6(6): 619–629. doi: 10.12000/JR17016

    LI Liang, HONG Jun, and MING Feng. Mechanism study of ionospheric effects on medium-earth-orbit SAR[J]. Journal of Radars, 2017, 6(6): 619–629. doi: 10.12000/JR17016
    [57] 崔喜爱, 曾琪明, 童庆禧, 等. 重轨星载InSAR测量中的大气校正方法综述[J]. 遥感技术与应用, 2014, 29(1): 9–17. doi: 10.11873/j.issn.1004-0323.2014.1.0009

    CUI Xi’ai, ZENG Qiming, TONG Qingxi, et al. Overview of the atmospheric correction methods in repeat-pass InSAR measurements[J]. Remote Sensing Technology and Application, 2014, 29(1): 9–17. doi: 10.11873/j.issn.1004-0323.2014.1.0009
    [58] MASSONNET D and FEIGL K L. Discrimination of geophysical phenomena in satellite radar interferograms[J]. Geophysical Research Letters, 1995, 22(12): 1537–1540. doi: 10.1029/95GL00711
    [59] CROSETTO M, TSCHERNING C C, CRIPPA B, et al. Subsidence monitoring using SAR interferometry: Reduction of the atmospheric effects using stochastic filtering[J]. Geophysical Research Letters, 2002, 29(9): 26-1–26-4. doi: 10.1029/2001GL013544
    [60] SAASTAMOINEN J. Atmospheric Correction for the Troposphere and Stratosphere in Radio Ranging Satellites[M]. HENRIKSEN S W, MANCINI A, CHOVITZ B H. The Use of Artificial Satellites for Geodesy. New York: The American Geophysical Union, 1972: 247–251. doi: 10.1029/GM015p0247.
    [61] LI Zhenhong. Correction of atmospheric water vapour effects on repeat-pass SAR interferometry using GPS, MODIS and MERIS data[D]. [Ph.D. dissertation], University College London, 2005.
    [62] YUN Ye, ZENG Qiming, GREEN B W, et al. Mitigating atmospheric effects in InSAR measurements through high-resolution data assimilation and numerical simulations with a weather prediction model[J]. International Journal of Remote Sensing, 2015, 36(8): 2129–2147. doi: 10.1080/01431161.2015.1034894
    [63] WEGMÜLLER U, STROZZI T, and WERNER C. Ionospheric path delay estimation using split-beam interferometry[C]. 2012 IEEE International Geoscience and Remote Sensing Symposium, Munich, Germany, 2012. doi: 10.1109/IGARSS.2012.6350630.
    [64] 金双根, 朱文耀. GPS观测数据提高InSAR干涉测量精度的分析[J]. 遥感信息, 2001(4): 8–11. doi: 10.3969/j.issn.1000-3177.2001.04.003

    JIN Shuanggen and ZHU Wenyao. Analysis of GPS observation data to improve InSAR interferometry precision[J]. Remote Sensing Information, 2001(4): 8–11. doi: 10.3969/j.issn.1000-3177.2001.04.003
    [65] MATTAR K E and GRAY A L. Reducing ionospheric electron density errors in satellite radar interferometry applications[J]. Canadian Journal of Remote Sensing, 2002, 28(4): 593–600. doi: 10.5589/m02-051
    [66] 孙倩, 胡俊, 陈小红. 多时相InSAR技术及其在滑坡监测中的关键问题分析[J]. 地理与地理信息科学, 2019, 35(3): 37–45. doi: 10.3969/j.issn.1672-0504.2019.03.006

    SUN Qian, HU Jun, and CHEN Xiaohong. Multi-temporal InSAR techniques and their challenges in the landslides monitoring[J]. Geography and Geo-Information Science, 2019, 35(3): 37–45. doi: 10.3969/j.issn.1672-0504.2019.03.006
    [67] GAN Jie, HU Jun, LI Zhiwei, et al. Mapping three-dimensional co-seismic surface deformations associated with the 2015 MW7.2 Murghab earthquake based on InSAR and characteristics of crustal strain[J]. Science China Earth Sciences, 2018, 61(10): 1451–1466. doi: 10.1007/s11430-017-9235-4
    [68] JI Panfeng, LÜ Xiaolei, DOU Fangjia, et al. Fusion of GPS and InSAR data to derive robust 3D deformation maps based on MRF L1-regularization[J]. Remote Sensing Letters, 2020, 11(2): 204–213. doi: 10.1080/2150704X.2019.1701722
    [69] HU Fengming, VAN LEIJEN F J, CHANG Ling, et al. Monitoring deformation along railway systems combining multi-temporal InSAR and LiDAR data[J]. Remote Sensing, 2019, 11(19): 2298. doi: 10.3390/rs11192298
    [70] HU J, LI Z W, DING X L, et al. 3D coseismic displacement of 2010 Darfield, New Zealand earthquake estimated from multi-aperture InSAR and D-InSAR measurements[J]. Journal of Geodesy, 2012, 86(11): 1029–1041. doi: 10.1007/s00190-012-0563-6
    [71] MEHRABI H, VOOSOGHI B, MOTAGH M, et al. Three-dimensional displacement fields from InSAR through Tikhonov regularization and least-squares variance component estimation[J]. Journal of Surveying Engineering, 2019, 145(4): 04019011. doi: 10.1061/(ASCE)SU.1943-5428.0000289
  • 加载中
图(6)
计量
  • 文章访问数:  6941
  • HTML全文浏览量:  3518
  • PDF下载量:  816
  • 被引次数: 0
出版历程
  • 收稿日期:  2020-01-22
  • 修回日期:  2020-02-20
  • 网络出版日期:  2020-02-28

目录

    /

    返回文章
    返回