测绘通报 ›› 2019, Vol. 0 ›› Issue (1): 5-12.doi: 10.13474/j.cnki.11-2246.2019.0002
Previous Articles Next Articles
ZHANG Yue, PANG Lei, XU Xigui, ZHANG Tian, ZHANG Ruiju
Received:
2018-04-11
Revised:
2018-09-17
Online:
2019-01-25
Published:
2019-02-14
CLC Number:
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.
[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. |
[1] | ZHOU Zhiwei, CHENG Xiang, ZHOU Wei, HAO Weifeng, XIAO Haibin, CHEN Hongjie, YANG Kui. Application of ground SAR in landslide deformation monitoring [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 60-63. |
[2] | ZHANG Jiayong, ZOU Yinxian, LIU Qianyun, ZHANG Nan, GONG Wei, LI Kanglun. Potential landslides deformation monitoring in Bijie city with InSAR time series [J]. Bulletin of Surveying and Mapping, 2022, 0(6): 121-124. |
[3] | ZHANG Chi, BAI Zhihui, LI Liang, CHEN Ranli, WU Kan. Deformation monitoring of bridge structure in mining area using 3D laser scanning technology [J]. Bulletin of Surveying and Mapping, 2022, 0(4): 122-129. |
[4] | PAN Dongfeng, YANG Chao, WU Yitong, TAN Tian, ZHANG Delin. Section extraction and deformation monitoring analysis of metro tunnel using TLS technology [J]. Bulletin of Surveying and Mapping, 2022, 0(4): 130-133. |
[5] | LU Zhongxiang, FAN Yanguo, LI Guosheng. Monitoring of surface deformation along the Qinghai-Tibet Railway with the time series InSAR technology [J]. Bulletin of Surveying and Mapping, 2022, 0(3): 138-142,156. |
[6] | XIONG Chunbao, PANG Hongxing, WANG Meng, SHI Qingfa. Application of multi-filter algorithm based on ICEEMDAN in dynamic deformation monitoring of super high-rise structures [J]. Bulletin of Surveying and Mapping, 2022, 0(3): 152-156. |
[7] | LI Peixian, YANG Zhonghui, YAN Yueguan, YUAN Debao, ZHAO Yanling, FAN Deqin. Development and application of online course of deformation monitoring technology based on Moodle [J]. Bulletin of Surveying and Mapping, 2022, 0(2): 168-173. |
[8] | MIN Xing, LUO Haitao, BAI Wenfeng. Research on deformation monitoring based on Leica MS60 and depth image [J]. Bulletin of Surveying and Mapping, 2021, 0(9): 165-168. |
[9] | GUO Xiantao, HUANG Teng, JIA Yan, ZHANG Rongchun. Landslide deformation monitoring using TLS technology and pseudo-single point monitoring model [J]. Bulletin of Surveying and Mapping, 2021, 0(6): 106-111. |
[10] | ZHAO Zhongshu, ZHANG Hongfeng. Non-urban surface deformation monitoring based on improved PS-InSAR [J]. Bulletin of Surveying and Mapping, 2021, 0(5): 68-72. |
[11] | DUAN Wei, WANG Min, WU Hao, LIU Chao. Recognition and early warning of deformation information in GNSS coordinate series based on the LWR-Pettitt method [J]. Bulletin of Surveying and Mapping, 2021, 0(5): 124-128,154. |
[12] | CAO Fawei, LIAO Weigu. Application of SBAS technology in ground subsidence monitoring of mining area [J]. Bulletin of Surveying and Mapping, 2021, 0(3): 156-158,163. |
[13] | NI Fei, WANG Haocheng, YANG Yizhuo, YANG Xiaobo. Application of 3D laser scanning technology in contactless deformation monitoring for expressway operation [J]. Bulletin of Surveying and Mapping, 2021, 0(3): 164-166. |
[14] | YANG Chuanxun, YANG Ji, LI Yong, HAN Liusheng, CHEN Shuisen. 3D laser scanning point cloud analysis method for dam deformation monitoring [J]. Bulletin of Surveying and Mapping, 2021, 0(10): 54-59. |
[15] | YANG Chunyu, REN Xingda, JIANG Huinan, YUAN Yue, WANG Zilin. Analysis of combined prediction model of subway deformation based on wavelet denoising [J]. Bulletin of Surveying and Mapping, 2021, 0(10): 127-131. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||