适用于自然地表形变反演的小基线集方法
An Improved Small Baseline Subset Method for Deformation Retrieval of Natural Terrains
查看参考文献28篇
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文摘
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由于自然地表像元在长期观测中容易发生时空失相干,利用时序InSAR(Synthetic Aperture Radar Interferometry)技术对其开展形变监测会面临可用形变测量点不足的挑战。针对这一问题,提出一种改进的小基线(Small Baseline Subset,SBAS)方法。该方法改进了传统SBAS中初始高相干像元筛选及相位滤波过程:首先利用拟合优度检验,并结合相干性阈值条件来识别同质像元;然后根据同质像元数量将所有像元分成2部分,即PS(Persistent Scatterers)候选点和DS(Distributed Scatterers)候选点;其次分别在这两部分像元中开展初始高相干PS点及DS点筛选;最后对选出的高相干PS点及DS点进行加权相位滤波。利用覆盖北京平原区西北部(含城区及山区)的27景ENVISAT ASAR影像开展的形变监测实验表明:与2个参考方法相比,该方法能够有效扩展形变结果上的测量点数量和覆盖范围,测量点数量分别提高了22.6%及27.6%,且自然地表的形变测量点密度得到了明显提升。同时,研究区形变结果与4个连续GPS站的位移数据有很好的一致性,证明了该方法在地表形变反演中的有效性及优越性。 |
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其他语种文摘
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Owning to that the pixels in natural terrains are prone to spatial-temporal decorrelation during the long-term observation, using time-series InSAR (Synthetic Aperture Interferometry) technique to carry out deformation monitoring of natural terrains will face the challenge of lacking of available deformation measurement points. To solve this problem, an improved Small Baseline Subset (SBAS) method is proposed. It improves the selection process of initial high coherent pixels and phase filtering in conventional SBAS. Firstly, it uses the goodness of fit and the coherence threshold condition to identify statistically homogeneous pixels (SHP). After this, all pixels are divided into two parts base on the number of SHP, i.e. Persistent Scatterers (PS) candidates and Distributed Scatterers (DS) candidates. Then, initial high coherent PS and DS are selected from these two parts respectively. Finally those selected high coherent PS and DS are filtered by a weighted phase filter. The deformation monitoring experiment with 27 ENVISAT ASAR images, acquired over the northwest part of Beijing plain shows that: compared with StaMPS-PS (refers to the PS-InSAR in StaMPS) method and StaMPS-SBAS (refers to the SBAS in StaMPS) method, the improved method can effectively extend the quantity and coverage of deformation measurement points. The quantity of measurement points is increased by 22.6% and 27.6% respectively, and the deformation result of natural terrains is improved effectively. The deformation result of this study area is in good agreement with the displacement of 4 continuous GPS stations. Experimental results prove the effectiveness and superiority of this method in the inversion of ground deformation. |
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来源
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地球信息科学学报
,2018,20(4):440-451 【核心库】
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DOI
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10.12082/dqxxkx.2018.170579
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关键词
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SBAS
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形变
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时序InSAR
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PS-InSAR
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PS
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DS
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地址
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1.
北京大学遥感与地理信息系统研究所, 北京, 100871
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中国科学院电子学研究所, 北京, 100190
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北京市地震局, 北京, 100080
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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1560-8999 |
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学科
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测绘学 |
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基金
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国家重点研发计划
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内蒙古自治区科技厅"数字化矿区资源管理与矿区生态环境监测技术与应用"项目
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文献收藏号
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CSCD:6216733
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参考文献 共
28
共2页
|
|
1.
Hanssen R F. Radar interferometry data interpretation and error analysis.
Journal of the Graduate School of the Chinese Academy of Sciences,2001,2(1):V5-577-V5-580
|
被引
2
次
|
|
|
|
|
2.
Hooper A. A new method for measuring deformation on volcanoes and other natural terrains using InSAR persistent scatterers.
Geophysical Research Letters,2004,31(23):1-5
|
被引
154
次
|
|
|
|
|
3.
高胜. 永久散射体雷达干涉研究综述.
遥感技术与应用,2016,31(1):86-94
|
被引
7
次
|
|
|
|
|
4.
Berardino P. A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms.
IEEE Transactions on Geoscience and Remote Sensing,2002,40(11):2375-2383
|
被引
525
次
|
|
|
|
|
5.
Schmidt D. Time-dependent land uplift and subsidence in the Santa Clara Valley, California.
Journal of Geophysical Research Solid Earth,2003,108(B9):ETG 4-1
|
被引
16
次
|
|
|
|
|
6.
Gong W. Comparison of small baseline interferometric SAR processors for estimating ground deformation.
Remote Sensing,2016,8(4):330
|
被引
2
次
|
|
|
|
|
7.
Hooper A. A multi-temporal InSAR method incorporating both persistent scatterer and small baseline approaches.
Geophysical Research Letters,2008,35(16):96-106
|
被引
86
次
|
|
|
|
|
8.
Lanari R. A small-baseline approach for investigating deformations on full-resolution differential SAR interferograms.
Geoscience & Remote Sensing IEEE Transactions on,2004,42(7):1377-1386
|
被引
96
次
|
|
|
|
|
9.
范锐彦. InSAR时序分析高相干目标选取方法比较研究.
地球信息科学学报,2016,18(6):805-814
|
被引
4
次
|
|
|
|
|
10.
Mora O. Linear and nonlinear terrain deformation maps from a reduced set of interferometric SAR images.
IEEE Transactions on Geoscience & Remote Sensing,2003,41(10):2243-2253
|
被引
93
次
|
|
|
|
|
11.
陈强. 干涉雷达永久散射体自动探测--算法与实验结果.
测绘学报,2006,35(2):112-117
|
被引
28
次
|
|
|
|
|
12.
曲世勃. PSDInSAR的永久散射体时序选择方法.
电子与信息学报,2011,33(2):381-387
|
被引
1
次
|
|
|
|
|
13.
Hooper A. StaMPS/MTI manual.
Delft institute of earth observation and space systems delft university of technology, Kluyverweg,2010,1:2629
|
被引
1
次
|
|
|
|
|
14.
Wegmuller U.
GAMMA IPTA Processing Example Luxemburg, GAMMA Technical Report,2005
|
被引
1
次
|
|
|
|
|
15.
丁伟.
PSInSAR点目标提取及相位解缠技术研究,2011
|
被引
5
次
|
|
|
|
|
16.
Ferretti A. A new algorithm for processing interferometric data-stacks: SqueeSAR.
IEEE Transactions on Geoscience and Remote Sensing,2011,49(9):3460-3470
|
被引
108
次
|
|
|
|
|
17.
Kvam P H.
Nonparametric statistics with applications to science and engineering,2007
|
被引
8
次
|
|
|
|
|
18.
Ferretti A. Permanent scatterers in SAR interferometry.
IEEE Transactions on geoscience and remote sensing,2001,39(1):8-20
|
被引
478
次
|
|
|
|
|
19.
罗小军. 时序差分雷达干涉中永久散射体的自动探测.
西南交通大学学报,2007,42(4):414-418
|
被引
13
次
|
|
|
|
|
20.
Xia Y.
Homogeneous pixel selection for distributed scatterers using multitemporal SAR data stacks,2016
|
被引
2
次
|
|
|
|
|
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