基于几何配准的多模式SAR影像配准及其误差分析

doi:10.11947/j.AGCS.2019.20180440

测绘学报 ›› 2019, Vol. 48 ›› Issue (11): 1439-1451.doi: 10.11947/j.AGCS.2019.20180440

基于几何配准的多模式SAR影像配准及其误差分析

吴文豪¹, 张磊², 李陶³, 龙四春¹, 段梦⁴, 周志伟⁵, 祝传广¹, 蒋廷臣⁶

1. 湖南科技大学煤炭资源清洁利用与矿山环境保护湖南省重点实验室, 湖南湘潭 411201;
2. 香港大学建筑学院, 香港;
3. 武汉大学卫星导航定位技术研究中心, 湖北武汉 430079;
4. 中南大学地球科学与信息物理学院, 湖南长沙 410083;
5. 中国科学院测量与地球物理研究所, 湖北武汉 430077;
6. 江苏海洋大学测绘与海洋信息学院, 江苏连云港 222005

收稿日期:2018-10-08 修回日期:2019-08-01 出版日期:2019-11-20 发布日期:2019-11-19
通讯作者: 龙四春 E-mail:sclong@hnust.edu.cn
作者简介:吴文豪(1987-),男,博士,讲师,研究方向为合成孔径雷达干涉处理。E-mail:wuwh@whu.edu.cn
基金资助:
国家自然科学基金（41877283；41474014；41674032；41004003）；江苏省科技厅项目（BE2016701）

Coregistration scheme and error analysis of multi-mode SAR image based on geometric coregistration

WU Wenhao¹, ZHANG Lei², LI Tao³, LONG Sichun¹, DUAN Meng⁴, ZHOU Zhiwei⁵, ZHU Chuanguang¹, JIANG Tingchen⁶

1. Hunan Province Key Laboratory of Coal Resources Clean-utilization and Mine Environment Protection, Hunan University of Science and Technology, Xiangtan 411201, China;
2. Faculty of Architecture, the University of Hong Kong, Hongkong, China;
3. GNSS Research Center of Wuhan University, Wuhan 430079, China;
4. School of Geosciences and Info-physics, Central South University, Changsha 410083, China;
5. Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China;
6. School of Geomatics and Marine Information, Jiangsu Ocean University, Lianyungang 222005, China

Received:2018-10-08 Revised:2019-08-01 Online:2019-11-20 Published:2019-11-19
Supported by:
The National Natural Science Foundation of China (Nos. 41877283;41474014;41674032;41004003);The Project of Jiangsu Province Technology Hall(No. BE2016701)

摘要/Abstract

摘要： 星载合成孔径雷达影像干涉处理时所需方位向配准精度因成像模式的差异而有所不同，目前在精密轨道条件下以几何配准为基础辅以影像信息的配准方案因其严格的理论模型和较高的精度成为干涉处理的首选。本文以TerraSAR-X影像为例，论证了不同成像模式影像所需的配准精度和卫星轨道精度，并通过理论分析和试验证明了精密轨道条件下，利用几何配准即可满足TerraSAR-X等卫星的条带模式影像干涉处理的需要；聚束模式影像需要在几何配准的基础上利用影像相干性或谱分集进一步优化配准结果。鉴于增强谱分集偏移量估计精度最高，本文进一步利用增强谱分集对比分析了不同轨道不同DEM条件下的几何配准误差。研究结果表明：卫星轨道切向误差是几何配准的主要误差源，目前常用3种DEM几何配准差异远小于0.001个像素，均可满足Sentinel-1影像干涉配准的需要。

关键词: InSAR, 几何配准, 精密轨道, 谱分集, 增强谱分集, 聚束模式, TOPS

Abstract: With the development of radar imaging technology and the diversification of imaging modes, the accuracy of coregistration in the direction of azimuth required by SAR interferometry is different. At present, due to the strict theoretical model and the high accuracy, the coregistration scheme with the image information based on geometric coregistration under the condition of precise orbits become the first choice for interference processing. In this paper, TerraSAR-X images have been taken as an example to demonstrate the accuracy of interferometric coregistration and satellite orbit required by different imaging modes. Furthermore, theoretical analysis and experimental validation have also been applied. It is proved that under the condition of precise orbits, SAR interferometric processing of strip-mode image of TerraSAR-X and other satellites can be achieved by geometric registration. While, spotlight imaging mode requires image coherence or spectral diversity to further optimization of the geometric coregistration results. Since the ESD (Enhanced Spectral Diversity) offset estimation method offers the highest accuracy. It has been used to estimate the geometric coregistration errors of Sentinel-1 satellite images with different orbit and DEM conditions. The results suggest that geometric coregistration error is mainly caused by the tangential error of the satellite orbit, and the difference of geometric corregistration of three kinds of DEM is much less than 0.001 pixels, which can meet the needs of Sentinel-1 image interference registration.

Key words: interferometric synthetic aperture radar, geometrical coregistration, precise orbit, spectral diversity, enhanced spectral diversity, spotlight mode, terrain observation by progressive scans

中图分类号:

P237

吴文豪, 张磊, 李陶, 龙四春, 段梦, 周志伟, 祝传广, 蒋廷臣. 基于几何配准的多模式SAR影像配准及其误差分析[J]. 测绘学报, 2019, 48(11): 1439-1451.

WU Wenhao, ZHANG Lei, LI Tao, LONG Sichun, DUAN Meng, ZHOU Zhiwei, ZHU Chuanguang, JIANG Tingchen. Coregistration scheme and error analysis of multi-mode SAR image based on geometric coregistration[J]. Acta Geodaetica et Cartographica Sinica, 2019, 48(11): 1439-1451.

参考文献 70

[1]	CURLANDER J C, MCDONOUGH R N. Synthetic aperture radar:systems and signal processing[M]. Hoboken:Wiley-Interscience, 1991.
[2]	ARIKAN M, VAN LEIJEN F, GUANG Liu, et al. Improved image alignment under the influence of elevation[C]//Proceedings of Fringe 2007 Workshop. Frascati, Italy:ESA, 2007.
[3]	ADAM N, EINEDER M, SCHÄTTLER B, et al. First TerraSAR-X interferometry evaluation[C]//Proceedings of Fringe 2007. Frascati, Italy:ESA, 2007.
[4]	FRITZ T, BREIT H, EINEDER M, et al. Interferometric SAR processing:from TerraSAR-X to TanDEM-X[C]//Proceedings of EUSAR 20018, European Conference on Synthetic Aperture Radar. Friedrichshafen, Germany:VDE, 2008:1-4.
[5]	EINEDER M, ADAM N, BRCIC R, et al. High bandwidth spotlight SAR interferometry with TerraSAR-X[C]//Proceedings of IGARSS 2008-2008 IEEE International Geoscience and Remote Sensing Symposium. Boston, MA:IEEE, 2008.
[6]	HOOPER A J. Persistent scatterer radar interferometry for crustal deformation studies and modeling of volcanic deformation[D]. Stanford:Stanford University, 2006.
[7]	HUANYIN Yue, HANSSEN R, KIANICKA J, et al. Sensitivity of topography on INSAR data coregistration[C]//Proceedings of 2004 Envisat & ERS Symposium (ESA SP-572). Salzburg, Austria:ESA, 2005.
[8]	NITTI D O, HANSSEN R F, REFICE A, et al. Impact of DEM-assisted coregistration on high-resolution SAR interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(3):1127-1143.
[9]	SCHUBERT A, MIRANDA N, GEUDTNER D, et al. Sentinel-1A/B combined product geolocation accuracy[J]. Remote Sensing, 2017, 9(6):607.
[10]	WEYDAHL D J, ELDHUSET K. Sub-meter geoposition accuracy of image pixels in TerraSAR-X data[C]//Proceedings of ESA Living Planet Symposium. Bergen, Norway:ESA, 2010.
[11]	NONAKA T, ISHIZUKA Y, YAMANE N, et al. Evaluation of the geometric accuracy of TerraSAR-X[C]//Proceedings of ISPRS, Beijing:Elsevier BV, 2008:135-140.
[12]	ADAM N, KAMPES B, EINEDER M, et al. The development of a scientific permanent scatterer system[C]//Proceedings of ISPRS Workshop High Resolution Mapping from Space. Hannover, Germany:ISPRS, 2003:6-8.
[13]	YAGUE-MARTINEZ N, EINEDER M, BRCIC R, et al. TanDEM-X mission:SAR image coregistration aspects[C]//Proceedings of the 8th European Conference on Synthetic Aperture Radar. Aachen, Germany:VDE, 2010:1-4.
[14]	廖明生, 王腾. 时间序列InSAR技术与应用[M]. 北京:科学出版社, 2014. LIAO Mingsheng, WANG Teng. Time series InSAR technology and application[M]. Beijing:Science Press, 2014.
[15]	王邦松, 张继贤, 卢丽君, 等. 利用Voronoi图辅助星载干涉雷达配准[J]. 武汉大学学报(信息科学版), 2016, 41(10):1339-1343. WANG Bangsong, ZHANG Jixian, LU Lijun, et al. A space-borne InSAR image registration by aided by a Voronoi diagram[J]. Geomatics and Information Science of Wuhan University, 2016, 41(10):1339-1343.
[16]	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. DOI:10.3321/j.issn:1001-1595.2008.01.012. ZHAO Zhiwei, YANG Ruliang, QI Haiming. An improved maximum spectrum peak co-registration algorithm for space-borne InSAR complex data[J]. Acta Geodaetica et Cartographica Sinica, 2008, 37(1):64-69. DOI:10.3321/j.issn:1001-1595.2008.01.012.
[17]	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. WANG Qingsong, QU Jishuang, HUANG Haifeng, et al. A method based on integrating real and complex correlation function for InSAR image coregistration[J]. Acta Geodaetica et Cartographica Sinica, 2012, 41(4):563-569.
[18]	赵志伟. 星载扫描干涉合成孔径雷达系统及信号处理技术[D]. 北京:中国科学院研究生院, 2007. ZHAO Zhiwei. The techniques for space-borne scan interferometric synthetic aperture radar system and signal processing[D]. Beijing:Graduate University of Chinese Academy of Sciences, 2007.
[19]	张登荣, 俞乐. 一种高精度的干涉雷达复数影像配准方法[J]. 遥感学报, 2007, 11(4):563-567. ZHANG Dengrong, YU Le. A high-precision co-registration method for InSAR image processing[J]. Journal of Remote Sensing[J]. 2007, 11(4):563-567.
[20]	彭曙蓉, 王耀南, 刘国才. 基于边缘提取和改进型整体松弛匹配算法的InSAR复图像配准方法[J]. 测绘学报, 2007, 36(1):62-66, 77. DOI:10.3321/j.issn:1001-1595.2007.01.011. PENG Shurong, WANG Yaonan, LIU Guocai. A method improving registration accuracy progressively for InSAR complex image[J]. Acta Geodaetica et Cartographica Sinica, 2007, 36(1):62-66, 77. DOI:10.3321/j.issn:1001-1595.2007.01.011.
[21]	BAMLER R, EINEDER M. Split band interferometry versus absolute ranging with wideband SAR systems[C]//Proceedings of IGARSS 2004, 2004 IEEE International Geoscience and Remote Sensing Symposium. Anchorage, Alaska:IEEE, 2004:980-984.
[22]	DE ZAN F. Coherent shift estimation for stacks of SAR images[J]. IEEE Geoscience and Remote Sensing Letters, 2011, 8(6):1095-1099.
[23]	DE ZAN F, PRATS-IRAOLA P, RODRIGUEZ-CASSOLA M. On the dependence of delta-k efficiency on multilooking[J]. IEEE Geoscience and Remote Sensing Letters, 2015, 12(8):1745-1749.
[24]	DE ZAN F, PRATS-IRAOLA P, RODRIGUEZ-CASSOLA M. The theoretical performance of different algorithms for shift estimation between SAR images[C]//Proceedings of EUSAR 2018, European Conference on Synthetic Aperture Radar. Aachen, Germany:VDE, 2018.
[25]	PRATS-IRAOLA P, RODRIGUEZ-CASSOLA M, DEKKER P L, et al. Considerations of the orbital tube for interferometric applications[C]//Proceedings of ESA Fringe Workshop. Fringe, Frascati, Italy:ESA, 2015:1-4.
[26]	PRATS-IRAOLA P, SCHEIBER R, MAROTTI L, et al. TOPS interferometry with TerraSAR-X[J]. IEEE Transactions on Geoscience and Remote Sensing, 2012, 50(8):3179-3188.
[27]	HANSSEN R, BAMLER R. Evaluation of interpolation kernels for SAR interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing, 1999, 37(1):318-321.
[28]	CAFFORIO C, GUCCIONE P, GUARNIERI A M. Doppler centroid estimation for ScanSAR data[J]. IEEE Transactions on Geoscience and Remote Sensing, 2004, 42(1):14-23.
[29]	BREIT H, FRITZ T, BALSS U, et al. TerraSAR-X SAR processing and products[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(2):727-740.
[30]	YAGUE-MARTINEZ N, RODRIGUEZ-GONZALEZ F R, BALSS U, et al. TerraSAR-X TOPS, ScanSAR and WideScanSAR interferometric processing[C]//Proceedings of EUSAR 2014, European Conference on Synthetic Aperture Radar. Berlin, Germany:VDE, 2014:1-4.
[31]	BOERNER E, BALSS U, EINEDER M. Simulation of distributed spotlight raw data from X-SAR/SRTM stripmap data[C]//Proceedings of IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium. Anchorage, Alaska:IEEE, 2004.
[32]	BAMLER R, HOLZNER J. ScanSAR interferometry for Radarsat-2 and Radarsat-3[J]. Canadian Journal of Remote Sensing, 2004, 30(3):437-447.
[33]	HOLZNER J. Signal theory and processing for burst-mode and ScanSAR interferometry[D]. Edinburgh, UK:University of Edinburgh, 2002.
[34]	GUCCIONE P. Interferometry with ENVISAT wide swath ScanSAR data[J]. IEEE Geoscience and Remote Sensing Letters, 2006, 3(3):377-381.
[35]	HOLZNER J, BAMLER R. Burst-mode and ScanSAR interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing, 2002, 40(9):1917-1934.
[36]	GUARNIERI A M, PRATI C. ScanSAR focusing and interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing, 1996, 34(4):1029-1038.
[37]	EINEDER M, FRITZ T, MITTERMAYER J, et al. TerraSAR-X ground segment, basic product specification[EB/OL].[2008-02-24]. https://www.dlr.de/Portaldata/1/Resources/raumfahrt/weltraum/TX-GS-DD-3302_Basic-Product-Specification-Document_1.5.pdf.
[38]	MITTERMAYER J, KRAUS T, LÓPEZ-DEKKER P, et al. Wrapped staring spotlight SAR[J]. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(10):5745-5764.
[39]	吴文豪, 王明洲, 李沙, 等. 滑动聚束模式SAR影像干涉处理方法[J]. 武汉大学学报(信息科学版), 2015, 40(12):1588-1593. WU Wenhao, WANG Mingzhou, LI Sha, et al. Analysis of sliding spotlight SAR interferometry[J]. Geomatics and Information Science of Wuhan University, 2015, 40(12):1588-1593.
[40]	SCHEIBER R, JÄGER M, PRATS-IRAOLA P, et al. Speckle tracking and interferometric processing of TerraSAR-X TOPS data for mapping nonstationary scenarios[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 8(4):1709-1720.
[41]	吴文豪, 周志伟, 李陶, 等. 精密轨道支持下的哨兵卫星TOPS模式干涉处理[J]. 测绘学报, 2017, 46(9):1156-1164. DOI:10.11947/j.AGCS.2017.20160352. WU Wenhao, ZHOU Zhiwei, LI Tao, et al. A study of Sentinel-1 TOPS mode Co-registration[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(9):1156-1164. DOI:10.11947/j.AGCS.2017.20160352.
[42]	吴文豪. 哨兵雷达卫星TOPS模式干涉处理研究[D]. 武汉:武汉大学, 2016. WU Wenhao. TOPS interferometry with Sentinel-1[D]. Wuhan:Wuhan University, 2016.
[43]	PRATS P, MAROTTI L, WOLLSTADT S, et al. TOPS Interferometry with TerraSAR-X[C]//8th European Conference on Synthetic Aperture Radar. Aachen, Germany:VDE, 2010:1-4.
[44]	YAGVE-MARTÍNEZ N, PRATS-IRAOLA P, GONZÁLEZ F R, et al. Interferometric processing of sentinel-1 TOPS data[J]. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(4):2220-2234.
[45]	SANSOSTI E, BERARDINO P, MANUNTA M, et al. Geometrical SAR image registration[J]. IEEE Transactions on Geoscience and Remote Sensing, 2006, 44(10):2681-2870.
[46]	KAHLE R, D'AMICO S. The TerraSAR-X precise orbit control-concept and flight results[C]//Proceedings of International Symposium on Space Flight Dynamics (ISSFD). Laurel, MD:DLR, 2014.
[47]	FERNANDEZ C. Sentinels POD Team, sentinels POD service file format specifications[EB/OL]. ESA, Paris, France, Tech. Rep. GMESGSEG-EOPG-FS-10-0075,[2018-01-18]. https://sentinel.esa.int/documents/247904/351187/GMES_Sentinels_POD_Service_File_Format_Specification.
[48]	D'ERRICO. Distributed space missions for earth system monitoring[M]. New York:Springer-Verlag, 2013.
[49]	BÄHR H. Orbital effects in spaceborne synthetic aperture radar interferometry[M]. Karlsruhe, Germany:KIT Scientific, 2013.
[50]	PRATS-IRAOLA P, RODRIGUEZ-CASSOLA M, DE ZAN F, et al. Role of the orbital tube in interferometric spaceborne SAR missions[J]. IEEE Geoscience and Remote Sensing Letters, 2015, 12(7):1486-1490.
[51]	KRAUS T, SCHRANK D, RIZZOLI P, et al. In-orbit performance of TerraSAR-X and TanDEM-X satellites[C]//Proceedings of URSI Commission F-triennial Open Symposium on Radio Wave Propagation and Remote Sensing. Garmisch-Partenkirchen, Germany:IEEE, 2011:1-6.
[52]	PRATS-IRAOLA P, NANNINI M, SCHEIBER R, et al. Interferometric investigations with the Sentinel-1 constellation[C]//Proceedings of ESA FRINGE Workshop. Helsinki, Finland:ESA Publication. 2017:5537-5540.
[53]	HACKEL S, MONTENBRUCK O, STEIGENBERGER P, et al. Model improvements and validation of TerraSAR-X precise orbit determination[J]. Journal of Geodesy, 2017, 91(5):547-562.
[54]	PETER H, JÄGGI A, FERNÁNDEZ J, et al. Sentinel-1A-first precise orbit determination results[J]. Advances in Space Research, 2017, 60(5):879-892.
[55]	DOORNBOS E, SCHARROO R, KLINKRAD H, et al. Improved modelling of surface forces in the orbit determination of ERS and Envisat[J]. Canadian Journal of Remote Sensing, 2002, 28(4):535-543.
[56]	KUIJPER D. Envisat ASAR interferometry baseline results of the current Envisat orbit maintenance strategy[C]//Proceedings of SpaceOps 2008 Conference. Heidelberg, Germany:AIAA Space Operations, 2013.
[57]	EINEDER M, ADAM N, BAMLER R, et al. Spaceborne spotlight SAR interferometry with TerraSAR-X[J]. IEEE Transactions on Geoscience and Remote Sensing, 2009, 47(5):1524-1535.
[58]	BAMLER R, EINEDER M. Accuracy of differential shift estimation by correlation and split-width interferometry for wideband and delta-k SAR systems[J]. IEEE Geoscience and Remote Sensing Letters, 2005, 2(2):151-155.
[59]	DE ZAN F. Accuracy of incoherent speckle tracking for circular Gaussian signals[J]. IEEE Geoscience and Remote Sensing Letters, 2014. 11(1):264-267.
[60]	FERNANDO R G, BRCIC R, YAGUE-MARTINEZ N, et al. Demonstration of TerraSAR-X ScanSAR persistent scatterer interferometry[C]//Proceedings of ESA Fringe Workshop (SP-731). Fringe, Frascati, Italy:ESA Publication, 2015.
[61]	DE ZAN F, PRATS-IRAOLA P, SCHEIBER R, et al. Interferometry with TOPS:Coregistration and azimuth shifts[C]//Proceedings of European Conference on Synthetic Aperture Radar (EUSAR). Berlin Offenbach, Germany:VDE, 2014:1-4.
[62]	FATTAHI H, AGRAM P, SIMONS M. A network-based enhanced spectral diversity approach for TOPS time-series analysis[J]. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(2):777-786.
[63]	BAMLER R, EINEDER M, MONTI G A, et al. Session summaries:InSAR theory session[C]//Proceedings of the ESA FRINGE Workshop. Fringe, Frascati, Italy:ESA Publication, 2015.
[64]	PRATS P, MAROTTI L, WOLLSTADT S, et al. Investigations on TOPS interferometry with TerraSAR-X[C]//Proceedings of 2010 IEEE International Geoscience and Remote Sensing Symposium. Honolulu, HI:IEEE, 2010.
[65]	XU Bing, LI Zhiwei, FENG Guangcai, et al. Continent-wide 2-D co-seismic deformation of the 2015Mw 8.3 Illapel, Chile earthquake derived from Sentinel-1a data:correction of azimuth co-registration error[J]. Remote Sensing, 2016, 8(5):376.
[66]	GRANDIN R. Interferometric processing of SLC Sentinel-1 TOPS data[C]//Proceedings of Fringe2015:Advances in the Science and Applications of SAR Interferometry and Sentinel-1 InSAR Workshop. Frascati, Italy:ESA Publication, 2015.
[67]	HU Zhihua, PENG Jianwei, HOU Yaolin, et al. Evaluation of recently released open global digital elevation models of Hubei, China[J]. Remote Sensing, 2017, 9(3):262.
[68]	GROHMANN C H. Evaluation of TanDEM-X DEMs on selected Brazilian sites:comparison with SRTM, ASTER GDEM and ALOS AW3D30[J]. Remote Sensing of Environment, 2018(212):121-133.
[69]	SAKAR N, BRCIC R, GONZALEZ F R, et al. An advanced co-registration method for TOPSAR interferometry[C]//Proceedings of 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Milan, Italy:IEEE, 2015.
[70]	YAGUE-MARTINEZ N, DE ZAN F, PRATS-IRAOLA P. Coregistration of interferometric stacks of Sentinel-1 TOPS data[J]. IEEE Geoscience and Remote Sensing Letters, 2017, 14(7):1002-1006.

基于几何配准的多模式SAR影像配准及其误差分析

Coregistration scheme and error analysis of multi-mode SAR image based on geometric coregistration

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献 70

相关文章 15

编辑推荐

Metrics

本文评价

[1]	许强, 朱星, 李为乐, 董秀军, 戴可人, 蒋亚楠, 陆会燕, 郭晨. “天-空-地”协同滑坡监测技术进展[J]. 测绘学报, 2022, 51(7): 1416-1436.
[2]	李志伟, 许文斌, 胡俊, 冯光财, 杨泽发, 李佳, 张恒, 陈琦, 朱建军, 王琪洁, 赵蓉, 段梦. InSAR部分地学参数反演[J]. 测绘学报, 2022, 51(7): 1458-1475.
[3]	马张烽, 蒋弥, 李桂华, 黄腾. 空间网络对时序InSAR相位解缠的影响——以Delaunay与Dijkstra网络为例[J]. 测绘学报, 2022, 51(2): 248-257.
[4]	邵凯, 张厚喆, 秦显平, 黄志勇, 易彬, 谷德峰. 分布式InSAR编队卫星精密绝对和相对轨道确定[J]. 测绘学报, 2021, 50(5): 580-588.
[5]	何秀凤, 高壮, 肖儒雅, 罗海滨, 冯灿. 多时相Sentinel-1A InSAR的连盐高铁沉降监测分析[J]. 测绘学报, 2021, 50(5): 600-611.
[6]	马张烽, 蒋弥, 丁琪瑄. 时序Sentinel-1TOPS模式SAR数据精配准[J]. 测绘学报, 2021, 50(5): 634-640.
[7]	房亚男, 朱俊, 李杰, 王冲, 王家松, 张少愚. 北斗混合星座分层约束下的精密定轨方法[J]. 测绘学报, 2021, 50(4): 466-474.
[8]	邵凯, 易彬, 张厚喆, 谷德峰. 单星模糊度固定的整数相位钟法及在低轨卫星定轨中的应用[J]. 测绘学报, 2021, 50(4): 487-495.
[9]	刘青豪, 张永红, 邓敏, 吴宏安, 康永辉, 魏钜杰. 大范围地表沉降时序深度学习预测法[J]. 测绘学报, 2021, 50(3): 396-404.
[10]	曾添, 隋立芬, 阮仁桂, 贾小林, 肖国锐. 三频非组合模型的GPS/BDS/Galileo精密定轨[J]. 测绘学报, 2021, 50(2): 169-180.
[11]	李彩林, 王志勇, 俞路路, 郭宝云. 最邻近曲面约束的近景光学影像与地面激光点云几何配准[J]. 测绘学报, 2020, 49(8): 1014-1022.
[12]	吴文豪, 张磊, 张腾旭, 王明洲, 龙四春, 段梦, 周志伟, 祝传广. Sentinel-1卫星TOPS模式影像增强谱分集配准优化[J]. 测绘学报, 2020, 49(11): 1451-1462.
[13]	曾添, 隋立芬, 阮仁桂, 贾小林, 冯来平. 卫星精密定轨的三频观测量IF组合法[J]. 测绘学报, 2020, 49(10): 1275-1284.
[14]	朱建军, 杨泽发, 李志伟. InSAR矿区地表三维形变监测与预计研究进展[J]. 测绘学报, 2019, 48(2): 135-144.
[15]	王乐洋, 高华, 冯光财. 利用InSAR和GPS数据分析台湾西南两次M_w>6地震的触发关系及应力影响[J]. 测绘学报, 2019, 48(10): 1244-1253.