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基于短基线差分干涉法的上海地面沉降分析 被引量:4

Monitoring Ground Deformation Based on Small Baseline Approach in Shanghai
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摘要 利用短基线差分干涉时序分析方法获取上海城区的地面形变信息.短基线时序分析方法选择较短的干涉对组合,利用干涉对中的高相干目标的相位和幅度信息在长时间序列中保持稳定的特性,获得高精度的地表形变信息.实验选择上海外环以内的区域,利用2007—2010年间的17景日本ALOS卫星的PALSAR数据,采用短基线时序分析方法提取了相干目标视线向的平均沉降速率.在沉降速率图中,杨浦区与虹口区交界处存在一个明显的漏斗状沉降;闵行区和浦东新区出现了一个较大范围的不规则的沉降条带. Ground subsidence information is obtained by using small baseline differential SAR interferograms in Shanghai. Amplitude and phase information of some high coherent targets remain stable in a long time sequence, so accurate deformation velocities of these points can be obtained with small baseline method. The area within the outer loop road in Shanghai is chosen for time series analysis of small baseline interferogram. 17 ALOS PALSAR data between 2007 and 2010 are used to extract the LOS average rates of coherent targets. The result shows that there is a clear funnel-shaped settlement in the junction of Hongkou and Yangpu districts, and a wide range irregular settlement in Minhang and Pudong districts.
出处 《同济大学学报(自然科学版)》 EI CAS CSCD 北大核心 2012年第10期1564-1568,共5页 Journal of Tongji University:Natural Science
基金 国家自然科学基金(41074019) 武汉大学地球空间环境与大地测量教育部重点实验室开放研究基金(10-01-04)
关键词 合成孔径雷达干涉测量 短基线时序分析方法 干目标 地面沉降 interferemetric synthetic aperture radar (InSAR) small baseline analysis method coherent target ground subsidence
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  • 1Prati C, Rocca F, Monti G A. SAR interferometry experiments with ERS-1[C]//Proceedings First ERS-1 Symposium. Tokyo: ESA, 1993: 211-218.
  • 2Prati C, Ferretti A, Perssin D. Recent advance on surface ground deformation measurement by means of repeated space- borne SAR observations[J]. Journal of Geodynamics, 2010, 49:161.
  • 3MassonnetD, Feigl K L. Radar interferometry and its application to changes in the earth's surface[J]. Reviews of Geophysics, 1998, 36 (4) :441.
  • 4Rosen P A, Hensley S, Joughin I R, et al. Synthetic aperture radar interferometry[J]. Proceedings of the IEEE, 2000, 88 (3):333.
  • 5Bamler R, Hartl P. Topical review: synthetic aperture radar interferometry[J]. Inverse problems, 1998, 14(4):R1.
  • 6Joaquin M S, Ramon H, Bert M K, et al. Physical analysis of atmospheric delay signal observed in stacked radar interferometric data [ C]//Geoscience and Remote Sensing Symposium. [S. 1. ] :IEEE, 2003 : 2112-2115.
  • 7王艳,廖明生,李德仁,魏子新,方正.利用长时间序列相干目标获取地面沉降场[J].地球物理学报,2007,50(2):598-604. 被引量:80
  • 8Ferretti A, Prati C, Rocca F. Permanent scatterers in SAR interferometry[J]. IEEE TRANS. Geoscience and Remote Sensing, 2001, 39(1):8.
  • 9Berardino 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.
  • 10Hoeper A. Persistent scatterer radar interferometry for crustal deformation studies and modeling of volcanic deformation[D]. Delft: Department of Remote Sensing and Geoscience of Stanford University, 2006.

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