月基SAR重复轨道干涉测量时-空基线分析

doi:10.11947/j.AGCS.2019.20180269

测绘学报 ›› 2019, Vol. 48 ›› Issue (7): 849-861.doi: 10.11947/j.AGCS.2019.20180269

月基SAR重复轨道干涉测量时-空基线分析

董景龙^1,2, 江利明^1,2, 蒋厚军^1,3, 沈强^1,2, 李德伟^1,2, 汪汉胜^1,2, 毛松^1,2

1. 中国科学院测量与地球物理研究所大地测量与地球动力学国家重点实验室, 湖北武汉 430077;
2. 中国科学院大学, 北京 100049;
3. 南京邮电大学, 江苏南京 210023

收稿日期:2018-06-15 修回日期:2019-03-28 出版日期:2019-07-20 发布日期:2019-07-26
通讯作者: 沈强 E-mail:cl980606@asch.whigg.ac.cn
作者简介:董景龙(1990-),男,博士生,研究方向为月基InSAR观测模式。
基金资助:
国家自然科学基金（41590854；41501497）；大地测量与地球动力学国家重点实验室开放基金（SKLGED2018-5-2-E）

Spatio-temporal baseline analysis of lunar-based repeat-track SAR interferometry

DONG Jinglong^1,2, JIANG Liming^1,2, JIANG Houjun^1,3, SHEN Qiang^1,2, LI Dewei^1,2, WANG Hansheng^1,2, MAO Song^1,2

1. State Key Laboratory of Geodesy and Earth's Dynamics, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China;
3. Nanjing University of Posts and Telecommunications, Nanjing 210023, China

Received:2018-06-15 Revised:2019-03-28 Online:2019-07-20 Published:2019-07-26
Supported by:
The National Natural Science Foundation of China (Nos. 41590854; 41501497); The State Key Laboratory of Geodesy and Earth's Dynamics (Institute of Geodesy and Geophysics, CAS) Foundation (No. SKLGED2018-5-2-E)

摘要/Abstract

摘要： 本文根据地-月相对运动特征，建立了月基重轨InSAR观测几何模型，使用NASA/JPL高精度DE430月球星历数据，计算了月基SAR的重访时间以及对应的空间基线。结果表明：月基SAR的重返周期约24.8 h；由于月球南北向速度发生周期性变化，月基重轨InSAR垂直基线长度会随重访次数产生较大变化，且基线长度近似呈现1恒星月周期变化特征。在空间基线约束下，本文进一步分析了月基重轨InSAR时-空基线特征，研究发现：①在确定的初始观测条件下，只能在特定的时间基线上实现月基重轨InSAR观测，并且初始观测时间不同，可实现月基重轨InSAR观测的时间基线也不同；②不同的时间基线可形成干涉组合个数不同，约50%的干涉组合个数对应的时间基线接近1恒星月及其整数倍；不同的观测位置可形成干涉组合个数不同，约80%的干涉组合个数发生在月球赤纬大于10°区域。因此，月基重轨InSAR观测数据获取计划的设计应综合考虑时间基线、空间基线以及初始观测时间等因素。

关键词: 月基SAR, 重复轨道, JPL星历, 时间基线, 空间基线

Abstract: Based on the relative motion features of the Earth-Moon system, we constructed the observation geometry of lunar-based repeat-track synthetic aperture radar interferometry (LB-SAR RTI), and calculated the revisit time of lunar-based synthetic aperture radar (LB-SAR) and the corresponding perpendicular baseline by using NASA/JPL ephemeris (DE430). The results show that the revisit period of LB-SAR is about 24.8 h; the length of perpendicular baseline varies greatly with the number of revisits and exhibit a periodic variation about one sidereal month resulting from the varied Moon's N-S velocity. Furthermore, we investigated the features related to the spatio-temporal baselines under the constraint of critical baseline. We find that at a specific time, only part of revisits can be used as temporal baseline, and the revisits suitable as temporal baseline will also vary with the initial observation time. Furthermore, the number of interferometric combinations vary significantly with temporal baseline and the Moon's declination. Near 50% effective interferometric combinations have the temporal baseline near the integer multiples of sidereal month. About 80% effective interferometric combinations occur in regions with the Moon's declination greater than 10°. Therefore, the design of the observation data acquisition plan of LB-SAR RTI should comprehensively take into account the factors related to temporal baseline, spatial baseline and initial observation time.

Key words: lunar-based SAR, repeat-track, JPL ephemeris, temporal baseline, spatial baseline

中图分类号:

P237

董景龙, 江利明, 蒋厚军, 沈强, 李德伟, 汪汉胜, 毛松. 月基SAR重复轨道干涉测量时-空基线分析[J]. 测绘学报, 2019, 48(7): 849-861.

DONG Jinglong, JIANG Liming, JIANG Houjun, SHEN Qiang, LI Dewei, WANG Hansheng, MAO Song. Spatio-temporal baseline analysis of lunar-based repeat-track SAR interferometry[J]. Acta Geodaetica et Cartographica Sinica, 2019, 48(7): 849-861.

参考文献

[1] 许才军, 申文斌, 晁定波. 地球物理大地测量学原理与方法[M]. 武汉:武汉大学出版社, 2006. XU Caijun, SHEN Wenbin, CHAO Dingbo. Geophysical geodesy principles and methods[M]. Wuhan:Wuhan University Press, 2006.
[2] 张红, 王超, 吴涛, 等. 基于相干目标的DInSAR方法研究[M]. 北京:科学出版社, 2009. ZHANG Hong, WANG Chao, WU Tao, et al. D-InSAR method based on coherent target[M]. Beijing:Science Press, 2009.
[3] 朱建军, 李志伟, 胡俊. InSAR变形监测方法与研究进展[J]. 测绘学报, 2017, 46(10):1717-1733. DOI:10.11947/j.AGCS.2017.20170350. ZHU Jianjun, LI Zhiwei, HU Jun. Research progress and methods of InSAR for deformation monitoring[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(10):1717-1733. DOI:10.11947/j.AGCS.2017.20170350.
[4] RAMSEY M. ESS findings:lunar science planning and workshop overview[C]//Proceedings of NASA Advisory Council Workshop on Science Associated with the Lunar Exploration Architecture. Arizona:NASA, 2007.
[5] SARABANDI K. Lunar-based large baseline synthetic aperture radar interferometry of earth[C]//Proceedings of NASA Advisory Council Workshop on Science Associated with the Lunar Exploration Architecture. Arizona:NASA, 2007.
[6] 郭华东, 丁翼星, 刘广, 等. 面向全球变化探测的月基成像雷达概念研究[J]. 中国科学:地球科学, 2013, 43(11):1760-1769. GUO Huadong, DING Yixing, LIU Guang, et al. Conceptual study of lunar-based SAR for global change monitoring[J]. Science China Earth Sciences, 2013, 43(11):1760-1769.
[7] 丁翼星, 郭华东, 刘广. 面向全球变化探测的月基对地观测覆盖性能分析[J]. 湖南大学学报(自然科学版), 2014, 41(10):96-102. DING Yixing, GUO Huadong, LIU Guang. Coverage performance analysis of earth observation from lunar base for global change detection[J]. Journal of Hunan University (Natural Sciences), 2014, 41(10):96-102.
[8] DING Yixing, GUO Huadong, LIU Guang. Potential applications of the moon based synthetic aperture radar for earth observation[C]//Proceeding of 2013 IEEE International Geoscience and Remote Sensing Symposium. Melbourne, Australia:IEEE, 2013:1767-1769.
[9] FORNARO G, FRANCESCHETTI G, LOMBARDINI F, et al. Potentials and limitations of Moon-borne SAR imaging[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(7):3009-3019.
[10] MOCCIA A, RENGA A. Synthetic aperture radar for Earth observation from a lunar base:Performance and potential applications[J]. IEEE Transactions on Aerospace and Electronic Systems, 2010, 46(3):1034-1051.
[11] 谷昕炜, 陈杰, 杨威, 等. 月基SAR仿真成像研究[J]. 无线电工程, 2018, 48(2):88-91. GU Xinwei, CHEN Jie, YANG Wei, et al. Research on echo simulation and imaging of lunar-based SAR[J]. Radio Engineering, 2018, 48(2):88-91.
[12] XU Zhen, CHEN Kunshan. On signal modeling of moon-based synthetic aperture radar (SAR) imaging of earth[J]. Remote Sensing, 2018, 10(3):486.
[13] RENGA A, MOCCIA A. Preliminary analysis of a Moon-based interferometric SAR system for very high resolution Earth remote sensing[C]//Proceedings of the 9th ILEWG International Conference on Exploration and Utilization of the Moon. Sorrento, Italy:Lunar Explorers Society, 2007:22-26.
[14] DING Y X, GUO H D, LIU G, et al. The analysis of moonborne cross track synthetic aperture radar interferometry for global environment change monitoring[J]. IOP Conference Series:Earth and Environmental Science. IOP Publishing, 2014, 17(1):012278.
[15] 丁翼星. 月基对地观测合成孔径雷达与全球变化应用研究[D]. 北京:中国科学院大学, 2014. DING Yixing. Moonborne earth observation synthetic aperture radar and its application in global change[D]. Beijing:Institute of Electronics, CAS, 2014.
[16] WILLIAMS J G, BOGGS D H. DE421 lunar orbit, physical librations, and surface coordinates[C]//Proceedings of the 16th International Workshop on Laser Ranging. Poznań:Jet Propulsion Laboratory, 2008.
[17] YE Hanlin, GUO Huadong, LIU Guang, et al. Observation scope and spatial coverage analysis for earth observation from a Moon-based platform[J]. International Journal of Remote Sensing, 2017, 39(18):5809-5833.
[18] YE Hanlin, GUO Huadong, LIU Guang, et al. Observation duration analysis for Earth surface features from a Moon-based platform[J]. Advances in Space Research, 2018, 62(2):274-287.
[19] 丁翼星, 郭华东, 刘广. 基于JPL星历的月基SAR多普勒参数估算方法[J]. 北京航空航天大学学报, 2015, 41(1):71-76. DING Yixing, GUO Huadong, LIU Guang. Method to estimate the Doppler parameters of Moon-borne SAR using JPL ephemeris[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(1):71-76.
[20] FOLKNER W M, WILLIAMS J G, BOGGS D H, et al. The planetary and lunar ephemerides DE430 and DE431[C]//Proceedings of the Interplanetary Network Progress Report 42-196.[S.l.]:IPN, 2014:1-81.
[21] 金文敬. 太阳系行星和月球历表的发展[J]. 天文学进展, 2015, 33(1):103-121. JIN Wenjing. Development of planetary and lunar ephemeris in the solar system[J]. Progress in Astronomy, 2015, 33(1):103-121.
[22] LIESKE J H. Precession matrix based on IAU/1976/system of astronomical constants[J]. Astronomy and Astrophysics, 1979, 73(3):282-284.
[23] SEIDELMANN P K, ABALAKIN V K, BURSA M, et al. Report of the IAU/IAG working group on cartographic coordinates and rotational elements of the planets and satellites:2000[J]. Celestial Mechanics and Dynamical Astronomy, 2002, 82(1):83-111.
[24] GSFC. A standardized lunar coordinate system for the lunar reconnaissance orbiter[R]. LRO Project White Paper.[S.l.]:NASA, 2008.
[25] REN Yuanzhen, GUO Huadong, LIU Guang, et al. Simulation study of geometric characteristics and coverage for moon-based earth observation in the electro-optical region[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10(6):2431-2440.
[26] PETIT G, LUZUM B J. IERS conventions (2010)[R]. IERS Technical Note 36. Frankfurt am Main:IERS, 2010.
[27] MCCARTHY D D, PETIT G. IERS CONVENTIONS (2003)[R] IERS Technical Note no. 32. Frankfurt am Main:IERS, 2004.
[28] ZEBKER H A, VILLASENOR J. Decorrelation in interferometric radar echoes[J]. IEEE Transactions on Geoscience and Remote Sensing, 1992, 30(5):950-959.
[29] GATELLI F, GUAMIERI A M, PARIZZI F, et al. The wavenumber shift in SAR interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing, 1994, 32(4):855-865.
[30] HANSSEN R F. Radar interferometry:data interpretation and error analysis[M]. Dordrecht:Springer Science & Business Media, 2001.
[31] MEYER F J, SANDWELL D T. SAR interferometry at Venus for topography and change detection[J]. Planetary and Space Science, 2012, 73(1):130-144.
[32] HU Cheng, LI Yuanhao, DONG Xichao, et al. Optimal data acquisition and height retrieval in repeat-track geosynchronous SAR interferometry[J]. Remote Sensing, 2015, 7(10):13367-13389.

月基SAR重复轨道干涉测量时-空基线分析

Spatio-temporal baseline analysis of lunar-based repeat-track SAR interferometry

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