一种面向时间序列InSAR的不连通子网快速连接方法

吴宏安; 张永红; 康永辉; 郭明

doi:10.11947/j.AGCS.2016.20160033

测绘学报 >

2016 , Vol. 45 >Issue 10: 1192 - 1199

DOI: https://doi.org/10.11947/j.AGCS.2016.20160033

摄影测量学与遥感

一种面向时间序列InSAR的不连通子网快速连接方法

吴宏安 ,
张永红 ,
康永辉 ,
郭明

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中国测绘科学研究院摄影测量与遥感研究所, 北京 100830

吴宏安(1981-),男,博士,副研究员,研究方向为合成孔径雷达干涉测量理论及应用。E-mail:wuha@casm.ac.cn

收稿日期: 2016-01-19

修回日期: 2016-06-17

网络出版日期: 2016-11-08

基金资助

国家自然科学基金（41304010）；国家973计划（2012CB719905）；中国测绘科学研究院基本科研业务费（7771610）

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A Fast Multi-layer Subnetwork Connection Method for Time Series InSAR Technique

WU Hong'an ,
ZHANG Yonghong ,
KANG Yonghui ,
GUO Ming

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Institute of Photogrammetry and Remote Sensing, Chinese Academy of Surveying and Mapping, Beijing 100830, China

Received date: 2016-01-19

Revised date: 2016-06-17

Online published: 2016-11-08

Supported by

The National Natural Science Foundation of China (No. 41304010);The National Basic Research Program of China (973 Program) (No. 2012CB719905);The Fundamental Research Funds of CASM (No. 7771610)

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摘要

时间序列InSAR技术目前已广泛应用于地表形变监测，尤其是稳定点目标较多地区的城市地面沉降监测。然而，实际应用中受大气相关距离限制以及模型相干系数阈值影响，连接点目标的Delaunay三角网常常不能完整地连接所有点目标，出现若干个不连通的子网。这种现象导致无法获取部分点目标的形变信息，特别是在非城镇地区影响尤为明显。为了提取大区域地表形变信息，本文提出了一种多层级、不同步长的子网最近邻点目标快速连接方法。其显著特点是通过逐层联网的方式，可快速减少子网数目。与现有复杂网络连接方法相比，该方法在保证结果精度的前提下，数据处理耗时仅为前者的32.56%。

关键词： 时间序列InSAR; 不连通子网; 多层级连接; 地表形变监测

本文引用格式

吴宏安 , 张永红 , 康永辉 , 郭明 . 一种面向时间序列InSAR的不连通子网快速连接方法[J]. 测绘学报, 2016 , 45(10) : 1192 -1199 . DOI: 10.11947/j.AGCS.2016.20160033

Abstract

Nowadays, times series interferometric synthetic aperture radar (InSAR) technique has been widely used in ground deformation monitoring, especially in urban areas where lots of stable point targets can be detected. However, in standard time series InSAR technique, affected by atmospheric correlation distance and the threshold of linear model coherence, the Delaunay triangulation for connecting point targets can be easily separated into many discontinuous subnetworks. Thus it is difficult to retrieve ground deformation in non-urban areas. In order to monitor ground deformation in large areas efficiently, a novel multi-layer subnetwork connection (MLSC) method is proposed for connecting all subnetworks. The advantage of the method is that it can quickly reduce the number of subnetworks with valid edges layer-by-layer. This method is compared with the existing complex network connecting mehod. The experimental results demonstrate that the data processing time of the proposed method is only 32.56% of the latter one.

Key words： time series InSAR; discontinuous subnetwork; MLSC; ground deformation monitoring

参考文献

[1] 王超, 张红, 刘智. 星载合成孔径雷达干涉测量[M]. 北京:科学出版社, 2002. WANG Chao, ZHANG Hong, LIU Zhi. Spaceborne Synthetic Aperture Radar Interferometry[M]. Beijing:Science Press, 2002.
[2] GATELLI F, GUARNIERI A M, PARIZZI F, et al. Wavenumber Shift in SAR Interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing, 1994, 32(4):855-865.
[3] ZEBKER H A, ROSEN P A, HENSLEY S. Atmospheric Effects in Interferometric Synthetic Aperture Radar Surface Deformation and Topographic Maps[J]. Journal of Geophysical Research, 1997, 102(B4):7547-7563.
[4] FERRETTI A, PRATI C, ROCCA F. Permanent Scatterers in SAR Interferometry[C]//Proceedings of the International Geoscience and Remote Sensing Symposium. Hamburg:IEEE, 1999, 3:1528-1530.
[5] FERRETTI A, PRATI C, 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.
[6] FERRETTI A, PRATI C, ROCCA F. Permanent Scatterers in SAR Interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing, 2001, 39(1):8-20.
[7] VILARDO G, VENTURA G, TERRANOVA C, et al. Ground Deformation Due to Tectonic, Hydrothermal, Gravity, Hydrogeological, and Anthropic Processes in the Campania Region (Southern Italy) from Permanent Scatterers Synthetic Aperture Radar Interferometry[J]. Remote Sensing of Environment, 2009, 113(1):197-212.
[8] 张永红, 张继贤, 龚文瑜, 等. 基于SAR干涉点目标分析技术的城市地表形变监测[J]. 测绘学报, 2009, 38(6):482-487, 493. DOI:10.3321/j.issn:1001-1595.2009.06.003. ZHANG Yonghong, ZHANG Jixian, GONG Wenyu, et al. Monitoring Urban Subsidence Based on SAR Interferometric Point Target Analysis[J]. Acta Geodaetica et Cartographica Sinica, 2009, 38(6):482-487, 493. DOI:10.3321/j.issn:1001-1595.2009.06.003.
[9] 廖明生, 唐婧, 王腾, 等. 高分辨率SAR数据在三峡库区滑坡监测中的应用[J]. 中国科学(地球科学), 2012, 42(2):217-229. LIAO Mingsheng, TANG Jing, WANG Teng, et al. Landslide Monitoring with High-resolution SAR Data in the Three Gorges Region[J]. Science China Earth Sciences, 2012, 55(4):590-601.
[10] 王洒, 宫辉力, 杜钊峰, 等. 永久散射体干涉测量中最佳主图像选取[J]. 测绘学报, 2013, 42(1):87-93. WANG Sa, GONG Huili, DU Zhaofeng, et al. Optimal Selection of Master Image in Permanent Scatterer InSAR Technique[J]. Acta Geodaetica et Cartographica Sinica, 2013, 42(1):87-93.
[11] 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.
[12] MORA O, MALLORQUI J J, BROQUETAS A. Linear and Nonlinear Terrain Deformation Maps from a Reduced Set of Interferometric SAR Images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2003, 41(10):2243-2253.
[13] 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.
[14] HOOPER A, SEGALL P, ZEBKER H. Persistent Scatterer Interferometric Synthetic Aperture Radar for Crustal Deformation Analysis, with Application to Volcán Alcedo, Galápagos[J]. Journal of Geophysical Research, 2007, 112(B7):B07407.
[15] LANARI R, MORA O, MANUNTA M, et al. A Small-baseline Approach for Investigating Deformations on Full-resolution Differential SAR Interferograms[J]. IEEE Transactions on Geoscience and Remote Sensing, 2004, 42(7):1377-1386.
[16] CASU F, MANZO M, PEPE A, et al. SBAS-DInSAR Analysis of Very Extended Areas:First Results on a 60000-km² Test Site[J]. IEEE Geoscience and Remote Sensing Letters, 2008, 5(3):438-442.
[17] 吴宏安, 张永红, 陈晓勇, 等. 基于小基线DInSAR技术监测太原市2003~2009年地表形变场[J]. 地球物理学报, 2011, 54(3):673-680. WU Hong'an, ZHANG Yonghong, CHEN Xiaoyong, et al. Ground Deformation Monitoring Using Small Baseline DInSAR Technique:A Case Study in Taiyuan City from 2003 to 2009[J]. Chinese Journal of Geophysics, 2011, 54(3):673-680.
[18] 张永红, 吴宏安, 孙广通. 时间序列InSAR技术中的形变模型研究[J]. 测绘学报, 2012, 41(6):864-869. ZHANG Yonghong, WU Hong'an, SUN Guangtong. Deformation Model of Time Series Interferometric SAR Techniques[J]. Acta Geodaetica et Cartographica Sinica, 2012, 41(6):864-869.
[19] 熊文秀, 冯光财, 李志伟, 等. 顾及时空特性的SBAS高质量点选取算法[J]. 测绘学报, 2015, 44(11):1246-1254. DOI:10.11947/j.AGCS.2015.20140547. XIONG Wenxiu, FENG Guangcai, LI Zhiwei, et al. High Quality Targets Selection in SBAS-InSAR Technique by Considering Temporal and Spatial Characteristic[J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(11):1246-1254. DOI:10.11947/j.AGCS.2015.20140547.
[20] LIU Guoxiang, LUO Xiaojun, CHEN Qiang, et al. Detecting Land Subsidence in Shanghai by PS-networking SAR Interferometry[J]. Sensors, 2008, 8(8):4725-4741.
[21] 吴涛. 多基线距DInSAR技术反演地表缓慢形变研究[D]. 北京:中国科学院研究生院, 2008. WU Tao. Slow Deformation Retrieval of Ground Surface Based on Multibaseline DInSAR Technique[D]. Beijing:Graduate University of Chinese Academy of Sciences, 2008.
[22] HANSSEN R F. Radar Interferometry:Data Interpretation and Error Analysis[M]. Boston, MA, USA:Kluwer, 2001.
[23] LIU Guoxiang, BUCKLEY S M, DING Xiaoli, et al. Estimating Spatiotemporal Ground Deformation with Improved Persistent-scatterer Radar Interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing, 2009, 47(9):3209-3219.
[24] LIU Guoxiang, JIA Hongguo, ZHANG Rui, et al. Exploration of Subsidence Estimation by Persistent Scatterer InSAR on Time Series of High Resolution Terra SAR-X Images[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2011, 4(1):159-170.
[25] 张瑞. 基于多级网络化的多平台永久散射体雷达干涉建模与形变计算方法[D]. 成都:西南交通大学, 2012. ZHANG Rui. Modeling and Deformation Estimating with Multi-platform Persistent Scatterer Radar Interferometry Based on Multi-level Networking[D]. Chengdu:Southwest Jiaotong University, 2012.

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