面向无控与有控地形测绘的陆探一号基线校正方法

doi:10.13474/j.cnki.11-2246.2024.0809

测绘通报 ›› 2024, Vol. 0 ›› Issue (8): 48-53.doi: 10.13474/j.cnki.11-2246.2024.0809

• 学术研究 • 上一篇

面向无控与有控地形测绘的陆探一号基线校正方法

李培桢¹, 谢志鹏², 李涛³, 张祥³

1. 中南大学地球科学与信息物理学院, 湖南长沙 410083;
2. 湖南省地质灾害调查监测所, 湖南长沙 410011;
3. 自然资源部国土卫星遥感应用中心, 北京 100048

收稿日期:2024-06-03 发布日期:2024-09-03
通讯作者: 谢志鹏。E-mail:Xzp197123456@163.com
作者简介:李培桢(2000—),男,硕士生,主要研究方向为InSAR地形测绘。E-mail:peizhenli@csu.edu.cn
基金资助:
国家自然科学基金重点项目(42330112)

Baseline correction method of Lutan-1 for topographic mapping with and without control

LI Peizhen¹, XIE Zhipeng², LI Tao³, ZHANG Xiang³

1. School of Geosciences and Info-Physics, Central South University, Changsha 410083, China;
2. Hunan Province Geological Disaster Survey and Monitoring Institute, Changsha 410011, China;
3. Land Satellite Remote Sensing Application Center, Ministry of Natural Resources, Beijing 100048, China

Received:2024-06-03 Published:2024-09-03

摘要/Abstract

摘要： 干涉合成孔径雷达(InSAR)生成数字地表模型(DSM)的过程中,厘米级的基线误差会带来米级的高程误差。本文面向国产陆探一号地形测绘任务,提出了一种基于远近波位基线检校的无控InSAR DSM生成方法。该方法使用远近波位检校场获取精确的基线参数改正量,并将检校参数用于其他区域,高程中误差降低了0.98 m,同时与传统的控制点辅助下的基线估计方法进行了对比分析。结果表明,控制点辅助下的基线精估计方法获取的基线估计量不适用于其余影像,而本文方法可稳健地用于长时间大区域的高精度DSM产品生产,为我国的InSAR地形测绘任务提供技术支撑。

关键词: 合成孔径雷达干涉测量, 陆探一号, 数字地表模型, 基线估计, 基线检校

Abstract: In the process of generating digital surface models (DSM) using interferometric synthetic aperture radar (InSAR), centimeter level baseline error will lead to meter level height error. For the Lutan-1(LT-1) topography mapping mission, an InSAR DSM generation method without control based on far and near beams baseline calibration is proposed in this article. This method obtain accurate baseline correction parameter with calibration sites, and applies the baseline correction parameter to other LT-1 bistatic data in Datong, reducing the mean square error of height by 0.98 m. Meanwhile, we compare and analyze this method with traditional baseline estimation methods assisted by control points. The results show that the baseline correction parameter obtained by baseline estimation method assisted by control points is not applicable to other LT-1 data, while the method in this paper can be robustly used for high-precision DSM generation in long-term and large areas, providing technical support for InSAR topography mapping mission.

Key words: InSAR, LT-1, DSM, baseline estimation, baseline calibration

中图分类号:

P237

李培桢, 谢志鹏, 李涛, 张祥. 面向无控与有控地形测绘的陆探一号基线校正方法[J]. 测绘通报, 2024, 0(8): 48-53.

LI Peizhen, XIE Zhipeng, LI Tao, ZHANG Xiang. Baseline correction method of Lutan-1 for topographic mapping with and without control[J]. Bulletin of Surveying and Mapping, 2024, 0(8): 48-53.

参考文献

[1] ZHANG Z,ZHENG H,CAO J,et al.FRS-Net:an efficient ship detection network for thin-cloud and fog-covered high-resolution optical satellite imagery[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2022,15:2326-2340.
[2] GAO S,TANG B H,HUANG L,et al.Identification of tea plantations in typical plateau areas with the combination of Sentinel-1/2 optical and radar remote sensing data based on feature selection algorithm[J].International Journal of Remote Sensing,2023:1-21.
[3] Lü Z,LU J,WANG Q,et al.ESP-LRSMD:a two-step detector for ship detection using SLC SAR imagery[J].IEEE Transactions on Geoscience and Remote Sensing,2022,60:1-16.
[4] 李涛,唐新明,李世金,等.L波段差分干涉SAR卫星基础形变产品分类[J].测绘学报,2023,52(5):769-779.
[5] 李永生,李强,焦其松,等.陆探一号SAR卫星星座在地震行业的应用与展望[J].武汉大学学报(信息科学版),2024.DOI:10.13203/J.whugis20230498.
[6] 刘斌,张丽,葛大庆,等.陆地探测-1号卫星滑坡大变形InSAR监测应用[J].武汉大学学报(信息科学版),2023.DOI:10.13203/j.whugis20230478.
[7] 李涛,周晓青,张祥,等.民用InSAR地形测绘卫星工程关键技术[J].测绘,2023,46(5):199-205.
[8] 王悦文.基于高程误差空间分布特征的星载SAR干涉测量检校方法研究[D].阜新:辽宁工程技术大学,2022.
[9] LU H,SUO Z,LI Z,et al.InSAR baseline estimation for Gaofen-3 real-time DEM generation[J].Sensors (Basel),2018,18(7):E2152.
[10] XU B,LI Z W,ZHU Y,et al.SAR interferometric baseline refinement based on flat-earth phase without a ground control point [J].Remote Sensing,2020,12(2):233.
[11] 肖金群,汪长城,李志伟,等.基于配准偏移量的InSAR基线估计[J].武汉大学学报(信息科学版),2010,35(10):1236-1239.
[12] YANG Q,WANG J,WANG Y,et al.Image-based baseline correction method for spaceborne InSAR with external DEM [J].IEEE Transactions on Geoscience and Remote Sensing,2023,61:1-16.
[13] 索志勇,李真芳,吴建新,等.利用局部先验知识的InSAR基线估计方法[J].西安电子科技大学学报(自然科学版),2008,35(5):774-776.
[14] GONZALEZ H J,ANTONY W J M,BACHMANN 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(9):3-11.
[15] ANTONY J W,GONZALEZ J H,SCHWERDT M,et al.Results of the TanDEM-X Baseline calibration [J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2013,6(3):1495-1501.
[16] 钱方明.微波干涉测绘卫星干涉定标关键技术研究[D].郑州:信息工程大学,2020.
[17] MOU J W,WANG Y,HONG J,et al.Baseline calibration of L-Band spaceborne bistatic SAR TwinSAR-L for DEM generation [J].Remote Sensing,2023,15(12):3024.
[18] LI T,FAN J,LIU Y,et al.An improved independent parameter decomposition method for Gaofen-3 surveying and mapping calibration[J].Remote Sensing,2022; 14(13):3089.

面向无控与有控地形测绘的陆探一号基线校正方法

Baseline correction method of Lutan-1 for topographic mapping with and without control

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 12

编辑推荐

Metrics

本文评价

[1]	李泽润, 喜文飞, 赵子龙, 刘海红, 张玉英, 张莉婷. SBAS-InSAR技术在昆明高铁南站山体形变监测中的应用[J]. 测绘通报, 2024, 0(1): 150-154.
[2]	高亚萍, 王艳, 刘春菊, 王琪, 吴霞仙. 一种顾及重叠区地形变化的DSM镶嵌线智能提取算法[J]. 测绘通报, 2023, 0(3): 22-26.
[3]	杨映新, 洪武胜, 吴曼乔. 利用Sentinel-1影像监测土地回填导致的地表形变[J]. 测绘通报, 2021, 0(6): 67-70.
[4]	何正枫, 张继贤, 黄国满, 盛辉军. 尼泊尔Mw7.8地震对珠峰区域内冰川形变及流速的影响[J]. 测绘通报, 2021, 0(5): 43-48,101.
[5]	孙玉铮, 谢先明, 梁小星. 一种容积信息滤波局部迭代相位解缠方法[J]. 测绘通报, 2021, 0(2): 40-43.
[6]	洪兆阳, 金双根. 利用时序PS-InSAR监测青藏高原冻土区地表形变[J]. 测绘通报, 2021, 0(1): 35-40.
[7]	周立凡, 张世奇, 夏瑜, 钟珊, 龚声蓉. 基于间断自适应MRF的相位解缠算法[J]. 测绘通报, 2020, 0(12): 6-10,26.
[8]	付波霖, 耿仁方, 李颖, 高二涛, 范冬林. 多频率InSAR提取沼泽湿地DEM精度对比分析[J]. 测绘通报, 2019, 0(10): 1-7.
[9]	陈磊, 赵学胜. 结合InSAR的矿区大梯度变形监测技术进展[J]. 测绘通报, 2018, 0(7): 18-23.
[10]	白芝勇, 杜君伟. 天狼星Sirius Pro无人机在高铁施工中的应用[J]. 测绘通报, 2017, 0(8): 156-157.
[11]	陈志谋, 胡波, 陈金座, 罗楚楚, 张华鹏, 姚俊启, 陈进清. 利用InSAR技术监测石油开采引起的地表形变[J]. 测绘通报, 2017, 0(11): 42-46.
[12]	何曙光, 张学东, 庞蕾, 刘慧, 艾立萍, 孙萌鑫. 雷达干涉测量中基线估计常用方法分析[J]. 测绘通报, 2016, 0(9): 20-23,28.