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

doi:10.13474/j.cnki.11-2246.2024.0809

Abstract

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

CLC Number:

P237

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.

References

[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.