差分层析SAR技术研究现状分析

doi:10.13474/j.cnki.11-2246.2019.0002

摘要/Abstract

摘要： 差分层析SAR是在层析SAR基础上发展起来的一种四维信息反演技术。它不仅实现了对雷达目标的三维分辨能力，同时可以获取目标的形变速率信息，可实现对目标方位-距离-高度-时间四维成像，这对实现城市基础设施动态形变监测、古建筑风险评估、重要工程安全监测等应用具有重要实际意义和价值。本文基于差分层析SAR成像原理，分析了成像处理过程中存在的问题，总结了差分层析SAR成像算法研究现状和特点；最后列举了差分层析SAR技术的主要应用领域，并对其技术发展趋势进行了展望。

关键词: 差分层析SAR, 四维成像, 压缩感知, 形变监测

Abstract: Differential TomoSAR is a 4D information inversion technique that develops from SAR tomography. It performs a 4D space-velocity imaging that not only provides 3D imaging, but also gains the deformation information of the targets. It has important value in monitoring dynamic city infrastructure deformation,accessing ancient buildings risk and monitoring safety of engineering.This paper introduces the principles of differential TomoSAR imaging and discusses the problems in imaging process. Then it summarizes research status of imaging algorithms and features. Finally, it presents the primary applications and prospects of differential TomoSAR.

Key words: differential TomoSAR, 4D SAR imaging, compressive sensing (CS), deformation monitoring

中图分类号:

P237

张月, 庞蕾, 徐西桂, 张天, 张瑞菊. 差分层析SAR技术研究现状分析[J]. 测绘通报, 2019, 0(1): 5-12.

ZHANG Yue, PANG Lei, XU Xigui, ZHANG Tian, ZHANG Ruiju. The research status analysis of differential TomoSAR[J]. 测绘通报, 2019, 0(1): 5-12.

参考文献

[1] LOMBARDINI F. Differential tomography:a new frame-work for SAR interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing, 2005, 43(1):37-44.
[2] ZHOU X, CHANG N B, LI S. Applications of SAR inter-ferometry in earth and environmental science research[J]. Sensors, 2009, 9(3):1876-912.
[3] ROSEN P A, HENSLEY S, JOUGHIN I R, et al. Synthetic aperture radar interferometry[J]. Proceedings of the IEEE, 2002, 88(3):333-382.
[4] VIVIANI F, PULELLA A, LOMBARDINI F. Multidi-mensional tomography with new generation VHR SAR data for urban monitoring[C]//Proceedings of 2013 IEEE International Geoscience and Remote Sensing Symposium. Melbourne, VIC:IEEE, 2014:81-84.
[5] LOMBARDINI F, VIVIANI F. New developments of 4D+differential SAR tomography to probe complex dynamic scenes[C]//Proceedings of 2014 IEEE Geoscience and Remote Sensing Symposium. Quebec City:IEEE, 2014:3362-3365.
[6] LOMBARDINI F, VIVIANI F. Multidimensional SAR tomography:advances for urban and prospects for forest/ice applications[C]//Proceeding of the 11th European Radar Conference.Rome:IEEE, 2014:225-228.
[7] LOMBARDINI F, TEBALDINI S. Multidimensional SAR tomography:methods and applications[C]//Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium. Fort Worth, TX:IEEE, 2017:2460-2463.
[8] LOMBARDINI F, VIVIANI F. Differential tomography applications to volumetric scatterers:simulated and real analyses for ice and forest scenarios[C]//Proceeding of the 10th European Conference on Synthetic Aperture Radar. Berlin:VDE, 2014:1-4.
[9] FORNARO G, LOMBARDINI F, SERASINO F. Multidi-mensional imaging with ERS data[C]//Proceedings of Fringe Workshop. Frascati:[s.n.], 2006.
[10] 徐玲玲, 赵永芳, 井孝功. 狄拉克δ函数[J]. 大学物理, 2010, 29(8):16-17.
[11] 曾琪明, 解学通. 基于谱运算的复相关函数法在干涉复图像配准中的应用[J]. 测绘学报, 2004, 33(2):127-131.
[12] LIN Q, VESECKY J F, ZEBKER H A. New approaches in interferometric SAR data processing[J]. IEEE Transactions on Geoscience and Remote Sensing, 1992, 30(3):560-567.
[13] 赵志伟, 杨汝良, 祁海明. 一种改进的星载干涉SAR复图像最大频谱配准算法[J]. 测绘学报, 2008, 37(1):64-69.
[14] SERAFINO F. SAR image coregistration based on isolated point scatterers[J]. IEEE Geoscience and Remote Sensing Letters, 2006, 3(3):354-358.
[15] 王青松,瞿继双,黄海风,等.联合实、复相关函数的干涉SAR图像配准方法[J].测绘学报,2012,41(4):563-569.
[16] FORNARO G, LOMBARDINI F, SERAFINO F. Three-dimensional multipass SAR focusing:experiments with long-term spaceborne data[J]. IEEE Transactions on Geoscience and Remote Sensing, 2005, 43(4):702-714.
[17] FORNARO G, SERAFINO F. Imaging of single and double scatterers in urban areas via SAR tomography[J]. IEEE Transactions on Geoscience and Remote Sensing,2006, 44(12):3497-3505.
[18] 孙希龙,余安喜,杜海东,等.基于模拟干涉相位去斜的SAR层析处理方法[J].国防科技大学学报,2011,33(3):105-110.
[19] COSTANTINI M, MINATIi F, PIETRANERA L. A curvature based method for combining multi-temporal SAR differential interferometric measurements[C]//Proceeding of Fringe Workshop. Frascati:[s.n.], 2004:550.
[20] ZHU X X, BAMLER R. Tomographic SAR inversion by L1-norm regularization:the compressive sensing approach[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(10):3839-3846.
[21] 孙希龙. SAR层析与差分层析成像技术研究[D].长沙:国防科学技术大学, 2012.
[22] REIGBER A, MOREIRA A. First demonstration of airborne SAR tomography using multibaseline L-band data[J]. IEEE Transactions on Geoscience and Remote Sensing, 2000, 38(5):2142-2152.
[23] REN X Z, YANG R L. An inverse problem based approach for differential SAR tomography imaging[J]. Journal of Electronics and Information Technology, 2010, 32(3):582-586.
[24] MISHALI M, ELDAR Y C. From theory to practice:sub-nyquist sampling of sparse wideband analog signals[J]. IEEE Journal of Selected Topics in Signal Processing, 2009, 4(2):375-391.
[25] SERAFINO F, SOLDOVIERI F, LOMBARDINI F, et al. Singular value decomposition applied to 4D SAR imaging[C]//Proceedings of IEEE International Geoscience and Remote Sensing Symposium.[S. l.]:IEEE, 2005:2701-2704.
[26] ZHU X X, BAMLER R. Very high resolution spaceborne SAR tomography in urban environment[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(12):4296-4308.
[27] 孙希龙,余安喜,董臻,等.一种差分SAR层析高分辨成像方法[J].电子与信息学报,2012,34(2):273-278.
[28] DICKEY F M, DOERRY A W. Superresolution and synthetic aperture radar[J]. Office of Scientific and Technical Information Technical Reports, 2001.DOI:10.2172/782711.
[29] WANG B, WANG Y, HONG W, et al. Simulation research of parametric methods for multi-baseline SAR tomography[C]//Proceedings of the 1st Asian and Pacific Conference on Synthetic Aperture Radar. Huangshan:IEEE, 2007:203-206.
[30] DONOHO D L. Compressed sensing[J]. IEEE Trans-actions on Information Theory, 2006, 52(4):1289-1306.
[31] CANDES E J, TAO T. Near-optimal signal recovery from random projections:universal encoding strategies[J]. IEEE Transactions on Information Theory, 2006, 52(12):5406-5425.
[32] ZHU X, BAMLER R, BAMLER R. Super-resolution for 4D SAR tomography via compressive sensing[C]//Proceedings of the 8th European Conference on Synthetic Aperture Radar. Aachen:VDE, 2011:1-4.
[33] 孙希龙,余安喜,董臻,等.基于压缩感知的星载SAR差分层析高分辨成像[J].信号处理,2012,28(5):659-666.
[34] REN X Z, LI Y F, YANG R. Four-dimensional SAR imaging scheme based on compressive sensing[J]. Progress in Electromagnetics Research B, 2012, 39(39):225-239.
[35] REN X Z, CHEN L N. Four-dimensional SAR imaging algorithm using bayesian compressive sensing[J]. Journal of Electromagnetic Waves and Applications, 2014, 28(13):1661-1676.
[36] ZHU X X, Bamler R. Compressive sensing for high resolution differential SAR tomography-the SL1MMER algorithm[C]//Proceedings of 2010 IEEE International Geoscience and Remote Sensing Symposium. Honolulu, HI:IEEE, 2010:17-20.
[37] 任笑真,杨汝良.一种基于幅度和相位迭代重建的四维合成孔径雷达成像方法[J].雷达学报,2016,5(1):65-71.
[38] ELADR Y C, KUPPINGER P, BOLCSKEI H. Block-sparse signals:uncertainty relations and efficient recovery[J]. IEEE Transactions on Signal Processing, 2010, 58(6):3042-3054.
[39] SHERVASHIDZE N, BACH F. Learning the structure for structured sparsity[J]. IEEE Transactions on Signal Processing, 2015, 63(18):4894-4902.
[40] TERADA T, NISHIMURA T, OGAWA Y, et al. DOA estimation for multi-band signal sources using compressed sensing techniques with Khatri-rao processing[J]. Ieice Transactions on Communications, 2014, E97.B(10):2110-2117.
[41] 王爱春,向茂生,汪丙南.一种联合Khatri-Rao子空间与块稀疏压缩感知的差分SAR层析成像方法[J].电子与信息学报,2017,39(1):95-102.
[42] FORNARO G, SERAFINO F, Reale D. 4-D SAR imaging:the case study of rome[J]. IEEE Geoscience and Remote Sensing Letters, 2010, 7(2):236-240.
[43] FORNARO G, REALE D, SERAFINO F. Four-dimen-sional SAR imaging for height estimation and monitoring of single and double scatterers[J]. IEEE Transactions on Geoscience and Remote Sensing, 2009, 47(1):224-237.
[44] 王爱春,向茂生,汪丙南.城区地表形变差分TomoSAR监测方法[J].测绘学报,2016,45(12):1413-1422.
[45] MA P, LIN H. Robust detection of single and double persistent scatterers in urban built environments[J]. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(4):2124-2139.
[46] SIDDIQUE M A, WEGMULLER U, HAJNSEK I, et al. Single-look SAR tomography as an add-on to PSI for improved deformation analysis in urban areas[J]. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(10):6119-6137.
[47] LOMBARDINI F, FORNARO G, PARDINI M, et al. SAR tomography for scene elevation and deformation reconstruction:algorithms and potentialities[C]//Proceedings of 2008 IEEE Radar Conference. Rome:IEEE, 2008:1-7.
[48] CAI F, LOMBARDINI F, PASCULLI D, et al. Tomo and diff-tomo SAR methodologies:Recent advances for urban and forest applications[C]//Proceedings of the 3rd International Asia-Pacific Conference on Synthetic Aperture Radar. Seoul:IEEE, 2011:1-3.
[49] LOMBARDINI F, CAI F, VIVIANI F. Forest "dynamic" tomography:height-varying temporal coherence separation[C]//Proceedings of 2012 Tyrrhenian Workshop on Advances in Radar and Remote Sensing. Naples:IEEE, 2012:94-99.
[50] FREEMAN A, DURDEN S L. A Three-component scattering model for polarimetric SAR data[J]. IEEE Transactions on Geoscience and Remote Sensing, 1998, 36(3):963-973.
[51] CHEN F, GUO H, MA P, et al. Radar interferometry offers new insights into threats to the angkor site[J]. Science Advances, 2017, 3(3):e1601284.
[52] CHEN F, YOU J, TANG P, et al. Unique performance of spaceborne SAR remote sensing in cultural heritage applications:overviews and perspectives[J]. Archaeological Prospection, 2018,25(1):71-79.
[53] CHEN F, WU Y, ZHANG Y, et al. Surface motion and structural instability monitoring of ming dynasty city walls by two-step tomo-PSInSAR approach in Nanjing city, China[J]. Remote Sensing, 2017,9(4):371.
[54] HILLEY G E, BÃ1/4RGMANN R, FERRETTI A, et al. Dynamics of slow-moving landslides from permanent scatterer analysis[J]. Science, 2004, 304(5679):1952-1955.
[55] WANG S, GONG H, ZHAOFENG D U, et al. Optimal selection of master image in permanent scatterer InSAR technique[J]. Acta Geodaetica et Cartographica Sinica, 2013,1:87-93.
[56] ZHU X X, BAMBER R. Let's do the time warp:multicomponent nonlinear motion estimation in differential SAR tomography[J]. IEEE Geoscience and Remote Sensing Letters, 2011, 8(4):735-739.
[57] FORNARO G,REALE D,VERDE S. Bridge thermal dilation monitoring with millimeter sensitivity via multidimensional SAR imaging[J]. IEEE Geoscience and Remote Sensing Letters,2012,10(4):677-681.