雷达卫星自动成图的精密干涉测量关键技术

唐新明; 李涛; 高小明; 陈乾福; 张祥

doi:10.11947/j.AGCS.2018.20170621

测绘学报 >

2018 , Vol. 47 >Issue 6: 730 - 740

DOI: https://doi.org/10.11947/j.AGCS.2018.20170621

基于机器视觉的数字摄影测量的新理论新方法

雷达卫星自动成图的精密干涉测量关键技术

唐新明 ,
李涛 ,
高小明 ,
陈乾福 ,
张祥

展开

国家测绘地理信息局卫星测绘应用中心, 北京 100048

唐新明(1966-),男,博士,研究员,博士生导师,主要从事摄影测量与航天测绘的研究与应用工作。E-mail:tangxinming99@qq.com

收稿日期: 2017-12-12

修回日期: 2018-03-21

网络出版日期: 2018-06-21

基金资助

国家重点研发计划（2017YFB0502700）；国家民用航天计划（D010102）；国家基础测绘科技计划（2016KJ0204/2017KJ0204）；测绘地理信息公益性行业科研专项经费项目（201512022）；国网北京经济技术研究院自主投入科技项目“合成孔径雷达数据与光学遥感影像融合在电网工程中的应用研究”

收起

Research on Key Technologies of Precise InSAR Surveying and Mapping Application Using Automatic SAR Imaging

TANG Xinming ,
LI Tao ,
GAO Xiaoming ,
CHEN Qianfu ,
ZHANG Xiang

Expand

Satellite Surveying and Mapping Application Center, National Administration of Surveying Mapping and Geoinformation, Beijing 100048, China

Received date: 2017-12-12

Revised date: 2018-03-21

Online published: 2018-06-21

Supported by

The National Key R&D Programme of China (No.2017YFB0502700);The Civilian Space Programme of China (No.D010102);The National Basic Surveying and Mapping Science and Technology Plan (No.2016KJ0204/2017KJ0204);The Non Profit Industry Research Subject (No.201512022);The Independent Investment Projects of State Power Economic Research Institute "Research on SAR and Optical Image Fusion and Application in Power Engineering"

Fold

摘要

本文介绍用于未来自动成图的数字摄影测量智能化新方法之一：精密干涉测量新方法。它采用合成孔径雷达干涉（interferometric SAR，InSAR）技术获取极高精度的地形信息，现已成为最有效的全球测图手段之一。本文提出了面向全球测图的精密干涉测量系统技术，其中包含测量检校技术、数据处理技术及数据后处理技术。首先，需采用定标设备对几何及干涉参数进行测量检校，主要包括方位向时间延迟、距离向时间延迟、大气延迟及基线误差等。其次，需采用检校参数进行干涉数据处理，获取高精度DEM数据，干涉数据处理的关键技术包括相位初值确定方法等。最后，采用区域网平差、长短基线组合及升降轨融合等后处理技术完成全球DEM数据的生产和精度的逐步提升。本文采用6景覆盖陕西地区的TanDEM-X数据进行了数据处理及后处理试验，并获取了山地区域高程精度为5.07 m，低相干面积为0.8 km²的DEM数据，这为我国1∶50 000乃至1∶25 000比例尺全球测图提供了技术参考。

关键词： InSAR; 全球测图; 测量检校; 后处理; DEM

本文引用格式

唐新明 , 李涛 , 高小明 , 陈乾福 , 张祥 . 雷达卫星自动成图的精密干涉测量关键技术[J]. 测绘学报, 2018 , 47(6) : 730 -740 . DOI: 10.11947/j.AGCS.2018.20170621

Abstract

Precise InSAR is a new intelligent photogrammetric technology using the automatic imaging and processing means.It becomes the most efficient satellite-surveying-and-mapping (SASM) way that uses interferometric phase to create global digital elevation model (DEM) with high-precision.In this paper,we proposed the systematic InSAR technologies applied in SASM.Three key technologies are proposed.They are calibration technology,data processing technology and the post-processing technologies.Firstly,we need to calibrate the geometric and interferometric parameters including azimuth time delay,range time delay,atmospheric delay as well as baseline errors.Secondly,we have to use the calibrated parameters to create precise DEM.One of the important procedures in data processing is the phase constant determination.Finally,we improve the quality of DEM by jointly using block-adjustment method,long-and-short baseline combination method as well as descending-and-ascending data merge method.We use 6 TanDEM-X data that covers Shanxi to carry out the experiment.The root-mean-square error of final DEM is 5.07 m in the mountainous regions.And the area with low coherence is 0.8 km².The accuracy meets the accuracy of China domestic SASM standard at 1∶50 000 and even the 1∶25 000 measurement scales.

Key words： InSAR; global mapping; calibration; post-processing; DEM

参考文献

[1] MASSONNET D, ELACHI C. High-resolution Land Topography[J]. Comptes Rendus Geoscience, 2006, 338(14-15):1029-1041.
[2] RODRIGUEZ E, MORRIS C S, BELZ J E, et al. An Assessment of the Srtm Topographic Products[R]. JPL D-31639, Pasadena, California:JPL, 2005.
[3] AMANTE C, EAKINS B W. Etopo11 Arc-minute Global Relief Model:Procedures, Data Sources and Analysis[R]. NESDIS NGDC-24, NOAA, 2009.
[4] DANIELSON J J, GESCH D B. Global Multi-resolution Terrain Elevation Data 2010(GMTED2010)[R]. Open-File Report 2011-1073, Reston:U.S. Department of the Interior, U.S. Geological Survey, 2011.
[5] NIKOLAKOPOULOS K G, KAMARATAKIS E K, CHRY-SOULAKIS N. SRTM Vs ASTER Elevation Products. Comparison for Two Regions in Crete, Greece[J]. International Journal of Remote Sensing, 2006, 27(21):4819-4838.
[6] BUCKREU S. Terrasar-X/Tandem-X Mission Overview[C]//Proceedings of TerraSAR-X/TanDEM-X Science Meeting. München:[s. n.], 2016.
[7] 国家测绘地理信息局卫星测绘应用中心. 国家测绘地理信息局卫星测绘应用中心2010-2015科技报告[R].国家测绘地理信息局卫星测绘应用中心,北京:2016. Satellite Surveying and Mapping Application Center. National Administration of Surveying Mapping and Geoinformation, 2010-2015 Scientific and Technical Report[R].Beijing:Satellite Surveying and Mapping Application Center.2016.
[8] FARR T G, ROSEN P A, CARO E, et al. The Shuttle Radar Topography Mission[J]. Reviews of Geophysics, 2007, 45(2):RG2004.
[9] KRIEGER G, MOREIRA A, FIEDLER H, et al. TanDEM-X:A Satellite Formation for High-resolution SAR Interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing, 2007, 45(11):3317-3341.
[10] BAMLER R. The SRTM Mission:A World-Wide 30 M Resolution DEM from Sar Interferometry in 11 Days[C]//FRITSCH D, SPILLER R. Photogrammetric Week'99. Heidelberg:Wichmann, 1999.
[11] FREY O, MEIER E, NVESCH D, et al. Geometric Error Budget Analysis for Terrasar-X[C]//Proceedings of the 5th European Conference on Synthetic Aperture Radar. Ulm, Germany:EUSAR, 2004.
[12] HUESO GONZÁLEZ J, WALTER ANTONY J M, BACH-MANN M, et al. Bistatic System and Baseline Calibration in TanDEM-X to Ensure the Global Digital Elevation Model Quality[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2012, 73:3-11.
[13] SCHWERDT M, GONZALEZ J H, BACHMANN M, et al. In-orbit Calibration of the TanDEM-X System[C]//Proceedings of 2011 IEEE International Geoscience and Remote Sensing Symposium. Vancouver, BC, Canada:IEEE, 2011:2420-2423.
[14] DEO R, ROSSI C, EINEDER M, et al. Framework for Fusion of Ascending and Descending Pass Tandem-X Raw DEMs[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 8(7):3347-3355.
[15] ROSSI C, RODRIGUEZ GONZALEZ F, FRITZ T, et al. TanDEM-X Calibrated Raw DEM Generation[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2012, 73:12-20.
[16] 汪丙南, 向茂生. TanDEM-X系统相对测高性能分析[J]. 遥感学报, 2009, 13(1):49-53. WANG Bingnan, XIANG Maosheng. Relative Height Accuracy Analysis of TanDEM-X System[J]. Journal of Remote Sensing, 2009, 13(1):49-53.
[17] 杜亚男, 冯光财, 李志伟, 等. Terrasar-X/Tandem-X获取高精度数字高程模型技术研究[J]. 地球物理学报, 2015, 58(9):3089-3102. DU Yanan, FENG Guangcai, LI Zhiwei, et al. Generation of High Precision DEM from TerraSAR-X/TanDEM-X[J]. Chinese Journal of Geophysics, 2015, 58(9):3089-3102.
[18] 张永胜, 黄海风, 梁甸农, 等. 星载分布式insar测高性能的理论及系统仿真评价方法[J]. 电子学报, 2008, 36(7):1273-1278, 1255. ZHANG Yongsheng, HUANG Haifeng, LIANG Diannong, et al. Theoretic and Simulation Experimental Performance Evaluation Methods of Spaceborne Distributed InSAR System[J]. Acta Electronica Sinica, 2008, 36(7):1273-1278, 1255.
[19] 靳国旺, 张薇, 向茂生, 等. 一种机载双天线inSAR干涉参数定标新方法[J]. 测绘学报, 2010, 39(1):76-81. JIN Guowang, ZHANG Wei, XIANG Maosheng, et al. A New Calibration Algorithm of Interferometric Parameters for Dual-antenna Airborne InSAR[J]. Acta Geodaetica et Cartographica Sinica, 2010, 39(1):76-81.
[20] 李芳芳, 胡东辉, 丁赤飚, 等. 机载双天线inSAR对飞数据处理与分析[J]. 雷达学报, 2015, 4(1):38-48. LI Fangfang, HU Donghui, DING Chibiao, et al. Antiparallel Aspects of Airborne Dual-antenna InSAR Data Processing and Analysis[J]. Journal of Radars, 2015, 4(1):38-48.
[21] 王萌萌, 黄国满, 花奋奋, 等. 机载双天线inSAR联合定标算法[J]. 测绘学报, 2014, 43(12):1259-1265. DOI:10.13485/j.cnki.11-2089.2014.0139. WANG Mengmeng, HUANG Guoman, HUA Fenfen, et al. Joint Calibration Method of Airborne Dual-antenna Interferometric SAR[J]. Acta Geodaetica et Cartographica Sinica, 2014, 43(12):1259-1265. DOI:10.13485/j.cnki.11-2089.2014.0139.
[22] 张延冰, 郭华东, 韩春明. 利用机载双天线InSAR数据生成高精度DEM的试验研究——以大面积丘陵地区为例[J]. 国土资源遥感, 2014, 26(1):97-102. ZHANG Yanbing, GUO Huadong, HAN Chunming. High Precision DEM Generation Using Airborne Dual-antenna InSAR Data:A Case Study of Large Hilly Areas[J]. Remote Sensing for Land & Resources, 2014, 26(1):97-102.
[23] JEHLE M, PERLER D, SMALL D, et al. Estimation of Atmospheric Path Delays in Terrasar-X Data Using Models Vs. Measurements[J]. Sensors, 2008, 8(12):8479-8491.
[24] GRUBER A, WESSEL B, HUBER M, et al. Operational Tandem-X DEM Calibration and First Validation Results[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2012, 73:39-49.
[25] FRITZ T, BALSS U, BAMLER R, et al. Phase Unwrapping Correction with Dual-baseline Data for the TanDEM-X Mission[C]//Proceedings of 2012 IEEE International Geoscience and Remote Sensing Symposium. Munich, Germany:IEEE, 2012:5566-5569.
[26] GAO Xiaoming, LIU Yaolin, LI Tao, et al. High Precision DEM Generation Algorithm Based on Insar Multi-look Iteration[J]. Remote Sensing, 2017, 9(7):741.

Options

文章导航

模态框（Modal）标题

摘要

本文引用格式

Abstract

参考文献