[1]沈富强,刘 飞*,张骏骁.多平台国产SAR在复杂山区地形测绘中的精度对比与适用性[J].山地学报,2025,(5):776-786.[doi:10.16089/j.cnki.1008-2786.000929]
 SHEN Fuqiang,LIU Fei*,ZHANG Junxiao.Accuracy Comparison and Applicability of Domestic SAR in Different Platforms for Topographic Mapping in Complex Mountain Areas[J].Mountain Research,2025,(5):776-786.[doi:10.16089/j.cnki.1008-2786.000929]
点击复制

多平台国产SAR在复杂山区地形测绘中的精度对比与适用性()
分享到:

《山地学报》[ISSN:1008-2186/CN:51-1516]

卷:
期数:
2025年第5期
页码:
776-786
栏目:
山地技术
出版日期:
2025-12-30

文章信息/Info

Title:
Accuracy Comparison and Applicability of Domestic SAR in Different Platforms for Topographic Mapping in Complex Mountain Areas
文章编号:
1008-2786-(2025)5-776-11
作者:
沈富强12刘 飞2*张骏骁3
(1. 四川大学 电子信息学院,成都 610065; 2. 四川测绘地理信息局测绘技术服务中心,成都 610083; 3. 齐鲁空天信息研究院,济南 250101)
Author(s):
SHEN Fuqiang12 LIU Fei1* ZHANG Junxiao3
(1. School of Electronic Information, Sichuan University, Chengdu 610065, China; 2. Surveying and Mapping Technology Service Center, Sichuan Bureau of Surveying, Mapping and Geoinformation, Chengdu 610083, China; 3. Qilu Institute of Aerospace Information, Jinan 250101, China)
关键词:
数字高程模型(DEM) 国产SAR 干涉测量 复杂山区
Keywords:
Digital Elevation Model(DEM) domestic SAR Interferometric Synthetic Aperture Radar(InSAR) complex mountainous area
分类号:
P237
DOI:
10.16089/j.cnki.1008-2786.000929
文献标志码:
A
摘要:
中国西部复杂山区常年雨雾遮蔽,光学影像获取困难,严重制约DEM(Digital Elevation Model)获取与建模。国产机载、星载SAR(Synthetic Aperture Radar)凭借高重访、强穿透优势,在地表形变监测与地形测绘中应用前景广阔,但针对大高差山区的系统性测图研究仍属空白。本文分别采用高分三号、陆探一号卫星SAR与国产机载毫米波SAR,基于合成孔径雷达干涉测量技术(Interferometric Synthetic Aperture Radar,InSAR)生成试验区数字高程模型(Digital Elevation Model,DEM)并开展精度评定,对比分析不同波段、不同平台SAR在复杂山区的测图能力。结果表明:(1)机载毫米波SAR DEM中误差2.292 m,精度最高; 高分三号UFS模式次之,中误差4.677 m,满足1:10 000地形图测绘规范;(2)陆探一号因垂直基线偏小,中误差46.559 m,精度受限。本研究首次实现多平台国产SAR生成DEM系统对比,可以为国产SAR在复杂山区大比例尺测图中的应用提供技术依据与决策参考。
Abstract:
Persistent rain and fog in the complex mountainous regions of western China severely hinder the acquisition of optical imagery, thereby restricting the generation and modeling of digital elevation models(DEMs). Domestic airborne and spaceborne Synthetic Aperture Radar(SAR)systems, with their advantages of high revisit frequency and strong penetration capability, offer broad application prospects in topographic mapping and surface deformation monitoring. However, their systematic mapping research in high-relief mountainous areas remained largely unexplored.
In this study, GF-3, LuTan-1 satellite SAR and domestic airborne millimeter-wave SAR were used to generate DEMs of the test area, and their accuracies were evaluated by comparison of the mapping capabilities with different bands and platforms in complex mountainous terrain.
(1)It found the DEM derived from airborne millimeter-wave SAR achieved the highest accuracy with a root mean square error(RMSE)of 2.292 m, followed by GF-3 in UFS mode with an RMSE of 4.677 m, meeting the specifications for 1:10 000 topographic mapping.
(2)Due to its small perpendicular baseline, LuTan-1 had a lower accuracy with an RMSE of 46.559 m.
This study presents the first systematic comparison of DEMs derived from multiple domestic SAR platforms, providing technical support and decision-making references for the application of domestic SAR in large-scale topographic mapping within complex mountainous regions.

参考文献/References:

[1] 李志林, 朱庆, 谢潇. 数字高程模型[M]. 3版. 北京: 科学出版社, 2017: 2-10. [LI Zhilin, ZHU Qing, XIE Xiao. Digital elevation model [M]. 3rd ed. Beijing: Science Press, 2017: 2-10]
[2] 汤国安. 我国数字高程模型与数字地形分析研究进展[J]. 地理学报, 2014, 69(9): 1305-1325. [TANG Guoan. Progress of DEM and digital terrain analysis in China [J]. Acta Geographica Sinica, 2014, 69(9): 1305-1325] DOI: 10.11821/dlxb201409006
[3] 刘国祥, 丁晓利, 李志林, 等. 使用InSAR建立DEM的试验研究[J]. 测绘学报, 2001, 30(4): 336-342. [LIU Guoxiang, DING Xiaoli, LI Zhilin, et al. Experimental investigation on DEM generation through InSAR [J]. Acta Geodaetica et Cartographica Sinica, 2001, 30(4): 336-342] DOI: 10.3321/j.issn: 1001-1595.2001.04.012
[4] 毕瑞, 甘淑, 袁希平, 等. 复杂地貌无人机遥感3D场景构建[J]. 山地学报, 2022, 40(1): 151-164. [BI Rui, GAN Shu, YUAN Xiping, et al. 3D scene construction of complex landforms based on UAV remote sensing [J]. Mountain Research, 2022, 40(1): 151-164] DOI: 10.3969/j.issn.1008-2786.2022.1.sdxb202201012
[5] 梁志, 师宇, 丁伟宸, 等. 山地地形下激光雷达风速的精度验证与模拟[J]. 山地学报, 2022, 40(2): 317-328. [LIANG Zhi, SHI Yu, DING Weichen, et al. Verification of LiDAR accuracy and wind simulation in mountainous terrain [J]. Mountain Research, 2022, 40(2): 317-328] DOI: 10.16089/j.cnki.1008-2786.000674
[6] 杜青松, 李国玉, 彭万林, 等. 利用InSAR技术获取高寒高海拔地区高精度DEM[J]. 测绘通报, 2021(3): 44-49. [DU Qingsong, LI Guoyu, PENG Wanlin, et al. Acquiring high-precision DEM in high altitude and cold area using InSAR technology [J]. Bulletin of Surveying and Mapping, 2021(3): 44-49] DOI: 10.13474/j.cnki.11-2246.2021.0076
[7] ZHANG Wenting, ZHU Wu, TIAN Xudong, et al. Improved DEM reconstruction method based on multibaseline InSAR [J]. IEEE Geoscience and Remote Sensing Letters, 2021, 19: 1-5. DOI: 10.1109/LGRS.2021.3069239
[8] KUGLER F, SCHULZE D, HAJNSEK I, et al. TanDEM-X Pol-InSAR performance for forest height estimation [J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(10): 6404-6422. DOI: 10.1109/TGRS.2013.2296533
[9] WIMMER C, SIEGMUND R, SCHWABISCH M, et al. Generation of high precision DEMs of the Wadden Sea with airborne interferometric SAR [J]. IEEE Transactions on Geoscience and Remote Sensing, 2000, 38(5): 2234-2245. DOI: 10.1109/36.868881
[10] LI Xinwu, GUO Huadong, LI Zhen. DEM generation and accuracy analysis on rugged terrain using ENVISAT/ASAR multi-angle InSAR data [J]. Journal of Remote Sensing, 2009, 13(2): 276-281. DOI: 10.3321/j.issn: 1007-4619.2009.02.015
[11] BAUMGARTNER S, GABELE M, GEBERT N, et al. Digital beamforming and traffic monitoring using the new F-SAR system of DLR [C]//Proceedings of International Radar Symposium(IRS). Cologne, Germany, 2007: 5
[12] SURI S, REINARTZ P. Mutual-information-based registration of TerraSAR-X and ikonos imagery in urban areas [J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(2): 939-949. DOI: 10.1109/TGRS.2009.2034842
[13] 丁赤飚, 刘佳音, 雷斌, 等. 高分三号SAR卫星系统级几何定位精度初探[J]. 雷达学报, 2017, 6(1): 11-16. [DING Chibiao, LIU Jiayin, LEI Bin, et al. Preliminary exploration of systematic geolocation accuracy of GF-3 SAR satellite system [J]. Journal of Radars, 2017, 6(1): 11-16] DOI: 10.12000/JR17024
[14] 肖儒雅, 王迅, 孙静怡, 等. 国产SAR卫星差分干涉测量地表形变监测比较[J]. 武汉大学学报(信息科学版), 2025, 50(8): 1517-1526. [XIAO Ruya, WANG Xun, SUN Jingyi, et al. Comparisons of differential interferometry of Chinese SAR satellites in ground deformation monitoring [J]. Geomatics and Information Science of Wuhan University, 2025, 50(8): 1517-1526] DOI: 10.13203/j.whugis20240468
[15] 张双成, 王杰, 李涛, 等. 陆地探测一号卫星用于干涉测量精度验证与分析——以大同市为例[J]. 武汉大学学报(信息科学版), 2025, 50(11): 2187-2197. [ZHANG Shuangcheng, WANG Jie, LI Tao, et al. Accuracy verification and analysis of interferometric of Lutan-1 satellite: A case study of Datong [J]. Geomatics and Information Science of Wuhan University, 2025, 50(11): 2187-2197] DOI: 10.13203/j.whugis20240424
[16] 宋鑫友, 张磊, 李涛, 等. 陆探一号干涉SAR在轨测试阶段基线精化与DEM精度分析[J]. 测绘学报, 2024, 53(10): 1920-1929. [SONG Xinyou, ZHANG Lei, LI Tao, et al. Baseline refinement and DEM accuracy analysis during the in-orbit test phase of LT-1 SAR [J]. Acta Geodaetica et Cartographica Sinica, 2024, 53(10): 1920-1929] DOI: 10.11947/j.AGCS.2024.20230540
[17] ZHANG Wenjun, WANG Weihong, CHEN Luwan. Constructing DEM based on InSAR and the relationship between InSAR DEM's precision and terrain factors [J]. Energy Procedia, 2012, 16: 184-189. DOI: 10.1016/j.egypro.2012.01.031
[18] 刘国祥, 陈强, 罗小军, 等. InSAR 原理与应用[M]. 北京: 科学出版社, 2019: 70-79. [LIU Guoxiang, CHEN Qiang, LUO Xiaojun, et al. InSAR principle and applications [M]. Beijing: Science Press, 2019: 70-79]
[19] 胡东明, 隋立春, 丁明涛. 困难地区InSAR技术和加权融合的DEM生成[J]. 测绘通报, 2020(2): 142-146. [HU Dongming, SUI Lichun, DING Mingtao. DEM generation in difficult areas based on InSAR and weighted fusion [J]. Bulletin of Surveying and Mapping, 2020(2): 142-146] DOI: 10.13474/j.cnki.11-2246.2020.0061
[20] 丁赤飚, 李芳芳, 胡东辉, 等. 机载干涉合成孔径雷达数据处理技术[M]. 北京: 科学出版社, 2017: 227-252. [DING Chibiao, LI Fangfang, HU Donghui, et al. Airborne interferometric synthetic aperture radar data processing technology [M]. Beijing: Science Press, 2017: 227-252]
[21] 李永杰. 机载毫米波InSAR生成高精度DEM/DOM方法研究[D]. 北京: 中国地质大学(北京), 2020: 9-17. [LI Yongjie. Research on DEM/DOM generation method for airborne millimeter-wave InSAR [D]. Beijing: China University of Geosciences(Beijing), 2020: 9-17 ] DOI: 10.27493/d.cnki.gzdzy.2020.000617
[22] 杨珍, 孙鹏超, 谢青, 等. 高分三号卫星影像制作DEM的试验[J]. 测绘科学, 2020, 45(3): 53-60. [YANG Zhen, SUN Pengchao, XIE Qing, et al. The experiment of making DEM by GF3 satellite images [J]. Science of Surveying and Mapping, 2020, 45(3): 53-60] DOI: 10.16251/j.cnki.1009-2307.2020.03.009
[23] SHE Zhishun, GRAY D A, BOGNER R E, et al. Three-dimensional space-borne synthetic aperture radar(SAR)imaging with multiple pass processing [J]. International Journal of Remote Sensing, 2002, 23(20): 4357-4382. DOI: 10.1080/01431160210153075
[24] 余海坤, 王微, 王晓娜. 多源参考数据下陆探一号DEM精度分析——以河南某区域为例[J]. 有色金属(矿山部分), 2024, 76(4): 191-198. [YU Haikun, WANG Wei, WANG Xiaona. Analyze the accuracy of DEM generated from LT-1 satellite imagery in the context of multiple reference data sources: A certain region in Henan Province as an example [J]. Nonferrous Metals(Mining Section), 2024, 76(4): 191-198] DOI: 10.3969/j.issn.1671-4172.2024.04.025
[25] 李爽, 王栋, 王立程, 等. 基于机载多角度InSAR技术的复杂地形高精度DEM重建方法[J]. 信号处理, 2024, 40(3): 460-470. [LI Shuang, WANG Dong, WANG Licheng, et al. High precision DEM generation of complex terrain based on airborne multi-angle InSAR [J]. Journal of Signal Processing, 2024, 40(3): 460-470] DOI: 10.16798/j.issn.1003-0530.2024.03.005
[26] LIU Fei, LI Shuang, JING Yaoquan, et al. Precision terrain modeling approach in complex mountainous areas based on compact UAV Ka-InSAR data [J]. IEEE Journal on Miniaturization for Air and Space Systems, 2023, 4(3): 257-266. DOI: 10.1109/JMASS.2023.3276949
[27] 高延东, 郑南山, 张艳锁, 等. 基于相位质量融合估计与信息滤波的相位解缠方法[J]. 测绘学报, 2024, 53(10): 1910-1919.[GAO Yandong, ZHENG Nanshan, ZHANG Yansuo, et al. A phase unwrapping method based on phase quality fusion estimation and information filtering [J]. Acta Geodaetica et Cartographica Sinica, 2024, 53(10): 1910-1919] DOI: 10.11947/j.AGCS.2024.20230247
[28] 潘紫阳, 万阿芳, 王烽, 等. 基于时变多项式的InSAR轨道误差去除和DEM估计[J]. 测绘通报, 2024(8): 145-150. [PAN Ziyang, WAN Afang, WANG Feng, et al. Modeling for InSAR orbit error based on time-varying polynomials to estimate DEM [J]. Bulletin of Surveying and Mapping, 2024(8): 145-150] DOI: 10.13474/j.cnki.11-2246.2024.0825
[29] 吴艳兰, 胡海, 胡鹏, 等. 数字高程模型误差及其评价的问题综述[J]. 武汉大学学报(信息科学版), 2011, 36(5): 568-574. [WU Yanlan, HU Hai, HU Peng, et al. A review on the issues in DEM error and DEM quality assessment [J]. Geomatics and Information Science of Wuhan University, 2011, 36(5): 568-574] DOI: 10.13203/j.whugis2011.05.018
[30] 张双成, 王铭辉, 杨娜, 等. 国产航天宏图一号SAR卫星数据干涉测量重建DEM精度验证与分析[J].遥感学报, 2025, 29(5): 1290-1304. [ZHANG Shuangcheng, WANG Minghui, YANG Na, et al. SAR satellite data from domestic PIESAT-1 interferometric reconstruction: DEM accuracy verification and analysis [J]. National Remote Sensing Bulletin, 2025, 29(5): 1290-1304] DOI: 10.11834/jrs.20254548

相似文献/References:

[1]张洪亮,倪绍祥,邓自旺,等.基于DEM的山区气温空间模拟方法[J].山地学报,2002,(03):360.
[2]李军,黄敬峰.山区气温空间分布推算方法评述[J].山地学报,2004,(01):126.
[3]孙丽,陈焕伟,潘家文.运用DEM剖析土地利用类型的分布及时空变化——以北京延庆县为例[J].山地学报,2004,(06):762.
[4]李家永,程琴娟,张晓东,等.用坡面增量系数进行区域地势评价的尝试——以江西省泰和县为例[J].山地学报,2006,(01):65.
[5]王 雷,龙永清,杨勤科.面栅格表达方式引起的DEM地形表达误差[J].山地学报,2016,(06):799.[doi:10.16089/j.cnki.1008-2786.000188]
 WANG Lei,LONG Yongqing,et al.Representation Error of Terrain Caused by GRID DEM[J].Mountain Research,2016,(5):799.[doi:10.16089/j.cnki.1008-2786.000188]

备注/Memo

备注/Memo:
收稿日期(Received date): 2025-03-15; 改回日期(Accepted date):2025-10-22
基金项目(Foundation item): 国家自然科学基金(42230102)。 [National Natural Science Foundation of China(42230102)]
作者简介(Biography): 沈富强(1987-),男,山东枣庄人,博士研究生,高级工程师,主要研究方向:InSAR、多源数据融合。[SHEN Fuqiang(1987-), male, born in Zaozhuang, Shandong Province, Ph.D. candidate, senior engineer, research on InSAR and Multi-source data fusion] E-mail: joeq2015@sina.com
更新日期/Last Update: 2025-10-20