期刊文献+

CRInSAR与PSInSAR融合探测地表线性变形速率 被引量:2

Study on Ground Deformation Monitoring Simulation Based on Combined CRInSAR and PSInSAR Calculation
下载PDF
导出
摘要 提出利用CRInSAR与PSInSAR融合解算地表变形参数的算法。将CR点上获取的线性变形速率与高程改正结果作为PS基线网络的起算数据,依据最小二乘原理求解PS点上待求线性变形速率与高程改正值的最优解。这一算法可融合PSInSAR与CRInSAR两种算法的优势,起到很好的互补作用。实验显示,这一算法获取的线性变形速率精度可达±0.37mm/a,高程改正值精度可达±0.5m,证实该算法在实际地表变形监测中具备可行性。 The paper presents an algorithm for the combined calculation of the corner reflector interferometric synthetic aperture radar (CRInSAR) and the permanent scatters interferometric synthetic aperture radar (PSInSAR) techniques. The algorithm uses the subsidence rates and elevation corrections calculated on the CR points as initial data for the PS baseline network. It then estimates the total optimum solutions of linear deformation rates and elevation corrections through the parametric adjustment method in the PS network. Ex- periments with simulated data and real data are carried out to estimate the feasibility of the algorithm. The simulation results show that the accuracy of linear deformation rates is ±0.37 mm/a, while that of elevation correction is ±0.5 m. The PS deformation rates inversed through the real data experiment show good consistency with that of leveling deformation monitoring. It can be inferred that the method presented is feasible in field regional deformation monitoring.
出处 《大地测量与地球动力学》 CSCD 北大核心 2015年第3期464-468,共5页 Journal of Geodesy and Geodynamics
基金 国家自然科学基金(41174001) 湖南省杰出青年基金(14JJ1021) 长沙理工大学特殊环境道路工程湖南省重点实验室开放基金(kfj130405 kfj140502) 地理空间信息湖南省工程实验室开放基金(2013GSIJJ008) 湖南省重点学科建设项目
关键词 CRInSAR PSINSAR 线性变形速率 高程改正 变形监测 CRInSAR PSInSAR linear deformation rates elevation correction deformation monitoring
  • 相关文献

参考文献12

  • 1Ferretti A, Savio G, F, arzaghi R, et al. Submillimeter Ac curacy of InSAR Time Series: Experimental Validation[J] IEEE Transactions on Geoscience and Remote Sensing 2007, 45(5): 1 142 -1 153.
  • 2Crosetto M, Monserrat O, Iglesias R, el al. Persistent Scatterer Interferommry: Potential, l,imits and Inilial C and X Band Comparison[J]. Photogrammetric Engineering and Remote Sensing, 2010, 76(9) : 1 061-1 069.
  • 3Osmanoglu B, Dixon T H, Wdowinski S, et al. Mexico City Subsidence Observed with Persistent Scatterer InSAR [J]. International Journal of Applied Earth Observation and Geoinformation, 2011, 13(1): 1-12.
  • 4Xia Y, Kaufmann H, Guo X. Landslide Monitoring in the Three Gorges Area Using D-InSAR and Corner Reflectors [J]. Phmogrammetric Engineering and Remote Sensing,2004, 70(4): 1 167-1 172.
  • 5Ferretti A, Prati C, Rocca F. Permanent Scatterers in SAR lnterferometry[J]. IEEE Transactions on Geoscience and Remote Sensing, 2001, 39(1): 8-20.
  • 6Ferretti A, Prati C, Rocca F. NonLinear Subsidence Rate Estimation Using Permanent Scatterers in Difterential SAR Inter|'erometry[J]. IEEE Transactions on Geoscienee and Remote Sensing, 2000, 38(5): 2 202-2 212.
  • 7Kampes B M, Hanssen R F. Ambiguity Resolution for Per- manent Sealterer lnterferometry[J]. IEEE Transactions on C-eoseience and Remme Sensing. 2004. 42 ( 11 ) : 2 446-2 453.
  • 8Xia Y, Kaufmann H, GuoX. DifferentiaISAR Interferom etry Using Corner Reflectors[C]. Geoscience and Remote Sensing Symposium, 2002.
  • 9I.iu G, Luo X, Chen Q, et al. Detecting Land Subsidence in Shanghai by PS-networking SAR Interferometry[J]. Sensors, 2008, 8(8)= 4 725-4 741.
  • 10陈强,丁晓利,刘国祥,胡植庆,袁林果.雷达干涉PS网络的基线识别与解算方法[J].地球物理学报,2009,52(9):2229-2236. 被引量:16

二级参考文献13

共引文献44

同被引文献17

引证文献2

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部