极具潜力的空间对地观测新技术——合成孔径雷达干涉

doi:10.11867/j.issn.1001-8166.2000.06.0734

地球科学进展 ›› 2000, Vol. 15 ›› Issue (6): 734 -740. doi: 10.11867/j.issn.1001-8166.2000.06.0734

刘国祥 ^①,丁晓利 ^①,陈永奇 ^①,李志林 ^①,郑大伟 ^①②

①香港理工大学土地测量及地理资讯学系;②中国科学院上海天文台,上海,200030

收稿日期:2000-01-04 修回日期:2000-04-04 出版日期:2000-12-01
通讯作者: 刘国祥(1968-),男,湖南临澧人,讲师(在读博士生),主要从事干涉雷达数据处理、地理信息系统(GIS)研究。

NEW AND POTENTIAL TECHNOLOGY FOR OBSERVATION OF EARTH FROM SPACE:SYNTHETIC APERTURE RADAR INTERFEROMETRY

LIU Guo-xiang ^①,DING Xiao-li ^①,CHEN Yong-qi ^①,LI Zhi-lin ^①,ZHENG Da-wei ^①②

①Dept.of Land Surveying and Geo-Informatics,Hong Kong Polytechnic University;②Shanghai Astronomical Observatory,Chinese Academy of Sciences,Shanghai 200030,China

Received:2000-01-04 Revised:2000-04-04 Online:2000-12-01 Published:2000-12-01

下载PDF ( 1983 )

“合成孔径雷达干涉(InSAR)”是近十年发展起来的空间对地观测遥感新技术。它具有从覆盖同一地区的星载(或机载)合成孔径雷达复数图像对提取干涉相位图,借助于雷达成像时的姿态数据重建地表三维模型(即数字高程模型)的巨大潜力。尤其是基于多幅雷达复数图像处理的差分干涉技术(D-InSAR)可以用于监测地表形变,精度可达厘米级甚至更高,其监测空间分辨率是前所未有的。介绍了InSAR和D-InSAR的基本原理,对影响干涉结果的一些重要因素做了分析,重点回顾和展望了差分干涉技术在与地表形变有关的地震监测和震后形变测量、地面下沉和山体滑坡、火山运动监测等方面应用的现状和前景。

关键词: 合成孔径雷达干涉, 差分干涉, 数字高程模型, 地表形变

Synthetic Aperture Radar Interferometry (InSAR) is a new and potential technology that has been developed in the last decade or so for observation of the Earth. It can be used to generate large-area (even global) DEM or to detect Earth surface deformation by means of interferometric phase data and attitude data of the radar platform. In particular, Differential InSAR (D-InSAR) has been demonstrated to have unprecedented ability to measure and monitor Earth surface change with excellent characteristics of continuous spatial coverage and nearly automatic processing and high accuracy (up to cm-level or even better). This paper first introduces the basic principles of InSAR and D-InSAR, and summarizes the involved key processing algorithms of interferometric technology, including SAR images coregistration,
phase unwrapping and baseline estimationetc. Then, some factors, that affect the quality of interferometric products, are generally analyzed,i.e., phase quality and baseline parameters play very important roles on interferometric processes. Finally, emphasis is placed on reviewing D-InSAR applications in measuring and monitoring Earth surface deformations caused by earthquakes, post-seismic displacements, ground subsidence, landslides and volcanic movements.

Key words: SAR interferometry, Differential InSAR, Digital elevation model, Earth surface deformation.

中图分类号:

P237

[1] 舒宁.雷达遥感原理[M].北京:测绘出版社,1996. 12～35.
[2] Achache J, Fruneau B, Delacourt C. Applicability of SAR interferometry for operational monitoring of landslides[A].In: Proceedings of the Second ERS Applications Workshop[C]. London, 1995. 165～168.
[3] Alberti G, Esposito S, Ponte S. Three-dimensional digital elevation model of Mt. Vesuvius from NASA/JPL TOPSAR[J]. International Journal of Remote Sensing, 1996, 17(10):1 797～1 801.
[4] Atlantis Scientific Incorporation. EVInSAR User' s Guide[Z].Canada: Atlantis Scientific Incorporation, 1999. 13～17.
[5] Briole P, Massonnet D, Delacourt C. Post-eruptive deformation associated with the 1986-87 and 1989 lava flows of Etna detected by radar interferometry [J].Geophysical Research Letters, 1997, 24: 37～40.
[6] Carnec C, King C, Massonnet D. Measurement of land subsidence by means of differential SAR interferometry[A].In: Proceedins of the Fifth International Symposium on Land Subsidence[C]. The Hague, The Netherlands, 1995. 139～148.
[7] Fruneau B, Delacourt C, Achache J. Observation and modeling of the Saint-Etienne-de-Tin landslide using SAR interferometry[EB/OL]. FRINGE 96, 1996, http://www.geo.unizh.ch/rsl/ fringe96/papers.
[8] Fujiwara S, Rosen P A. Crustal deformation measurements using repeat-pass JERS-1 Sythetic Radar Interferometry near the Izu Peninsula, Japan [ J ]. Journal of Geophysical Research, 1998, 103(B2): 2 411～2 426.
[9] Gabriel A K, Goldstein R M, Zebker H A. Mapping small elevation changes over large areas: differential radar interferometry[J]. Jounal of Geophysical Research, 1989, 94(B7):9 183～9 191.
[10] Gens R, Van Genderen J L. SAR interferometry: issues,techniques, applications[J]. International Journal of Remote Sensing, 1996, 17(10): 1 803～1 835.
[11] Gens R. Quality assessment of SAR interferometry data[D].Hannover: Hannover University, 1998. 23～45.
[12] Ghiglia D C, Pritt M D. Two-dimensional Phase Unwrapping: Theory, Algorithms and Software [M].New York: John Wiley &Sons, INC, 1998. 1～38.
[13] Goldstein R M. Satellite radar interferometry for monitoring ice sheet motion, application to an Antarctic ice stream[J].Science, 1993, 262: 1 525～1 530.
[14] Goldstein R M. Atmospheric limitations to repeat-track radar interferometry[J]. Geophysical Research Letter, 1995, 22:2 517～2 520.
[15] Kwok R, Fahnestock M A. Ice sheet motion and topography from radar interferometry [J]. IEEE Transactions on Geoscience and Remote Sensing, 1996, 34(1): 189～200.
[16] Li F K, Goldstein R M. Studies of multibaseline spaceborne interferometric synthetic aperture radars [J] . IEEE Transactions On Geoscience and Remote Sensing, 1990, 28:88～97.
[17] Massonnet D, Rossi M, Carmona C,et al. The displacement field of the Landers earthquake mapped by radar interferometry[J]. Nature, 1993, 364: 138～142.
[18] Massonnet D, Feigl K L. Satellite radar interferometric map of the coseismic deformation fileld of the M=6.1 Eureka Valley, California earthquake of May 17, 1993 [J].Geophysical Research Letter, 1995, 22: 1 541～1 544.
[19] Massonnet D, Briole P, Arnaud A. Deflation of Mount Etna monitored by spaceborne radar interferometry[J]. Nature,1995, 375: 567～570.
[20] Massonnet D, Vadon H. Land subsidence caused by the East Mesa geothermal field, California, observed by SAR interferometry[J]. Geophysical Research Letter, 1997, 24(8):2 677～2 680.
[21] Massonnet D, Holzer T, Vadon H. Land subsidence caused by the East Mesa geothermal filed, California, observed using SAR interferometry [J]. Geophysical Research Letters, 1997, 23(19): 2 677～2 680.
[22] Murakami M. Coseismic crustal deformations of 1994 Northridge, California, earthquake detected by interferometric JERS-1 synthetic aperture radar[J]. Journal of Geophysical Research, 1994, 101(B4): 8 605～8 614.
[23] Peltzer G, Hudnut K W, Feigl K L. Analysis of coseismic surface displacement gradients using radar interferometry:New insights into the Landers earthquake[J]. Journal of Geophysical Research, 1994, 99(B11): 21 971～21 981.
[24] Peltzer G, Rosen P. Surfacement of the 17 May 1993 Eureka Valley, California, Earthquake Observed by SAR Interferometry[J]. Science, 1995, 268: 1 333～1 336.
[25] Ponte S. ERS tandem data for earthquake prediction:preliminary results[EB/OL]. http://earth1. esrin.esa.it/florence/.1997.
[26] Santitamnont P. Interferometric SAR processing for topographic mapping [D]. Hannover: Hannover University, 1998. 1～30.
[27] Small D. Generation of Digital Elevation Models through Spaceborne SAR Interferometry [D]. Zurich: University of Zurich, 1998. 3～50.
[28] Zebker H A,Goldstein R M. Topographic mapping from interferometric Synthetic Aperture Radar observations[J].Journal of Geophysical Research, 1986, 91: 4 993～4 999.
[29] Zebker H A, Rosen P A, Goldstein R M,et al. On the derivation of coseismic displacement fields using differential radar interferometry: The Landers Earthquake[J]. Journal of Geophysical Research, 1994, 99(B10): 19 617～9 634.

[1]	贾诗超,张廷军,范成彦,刘琳,邵婉婉. InSAR技术多年冻土研究进展[J]. 地球科学进展, 2021, 36(7): 694-711.
[2]	樊云龙, 潘保田, 胡振波, 任大银, 陈起伟, 刘芬良, 李宗盟. 云贵高原北盘江流域构造地貌特征分析[J]. 地球科学进展, 2018, 33(7): 751-761.
[3]	曾燕,邱新法,潘敖大,刘昌明. 地形对黄河流域太阳辐射影响的分析研究[J]. 地球科学进展, 2008, 23(11): 1185-1193.
[4]	傅文学,田庆久,郭小方,王黎明. PS技术及其在地表形变监测中的应用现状与发展[J]. 地球科学进展, 2006, 21(11): 1193-1198.
[5]	王静瑶,吴云. 现代地壳运动与地震监测预报研究的现状和发展趋势[J]. 地球科学进展, 2000, 15(1): 84-89.

阅读次数

全文

摘要