Baseline Estimation Using DEM Prior Knowledge and Capability Analysis for Gaofen-3 Repeat ass SAR Interferometry

被引:3
|
作者
Ma, Lixiang [1 ]
Wang, Yue [2 ]
Zhang, Qingjun [1 ]
Zhu, Yu [1 ]
Zhang, Yue [1 ]
Bian, Mingming [1 ]
机构
[1] Beijing Inst Spacecraft Syst Engn, Dept Spacebone Microwave Radar Res & Technol, Beijing 100094, Peoples R China
[2] China Elect Power Res Inst, Power Syst Dept, Beijing 100192, Peoples R China
来源
IEEE ACCESS | 2019年 / 7卷
关键词
Synthetic aperture radar (SAR) interferometry; DEM; orbit data; baseline estimation; RADAR INTERFEROMETRY;
D O I
10.1109/ACCESS.2019.2912880
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, the study on the digital elevation model (DEM) reconstruction using Gaofen-3 satellite repeat-pass synthetic aperture radar (SAR) interferometry is presented. The coherence of the single-look complex (SLC) images and residuals of interferogram provide a powerful guarantee for interferometric processing for Gaofen-3. Baseline estimation is the key factor to generate accurate DEM with SAR interferometry. This paper uses the coarse orbit data and the precise orbit data of Gaofen-3 to carry on the baseline estimation and uses the prior coarse DEM information to refine the baseline estimation. Then, the topographic height is reconstructed with more precise spatial baseline. An experiment is conducted to verify the conclusion, and some mountain and flatten region are chosen as the study area. The results show that the DEM errors based on the prior DEM method are rapidly converged compared with the ones based on the orbit data method. Therefore, benefiting from the precise orbit data of the Gaofen-3 satellite, the accuracy of the baseline estimation can be improved further by using the method based on prior DEM information; thus, higher accuracy of DEM can be achieved so that Gaofen-3 repeat-pass data have some good characteristics, such as high imaging quality, stable spatial baseline, and high correlation, which has a good repeat-pass SAR interferometry application prospect.
引用
收藏
页码:53225 / 53235
页数:11
相关论文
共 2 条
  • [1] InSAR Baseline Estimation for Gaofen-3 Real-Time DEM Generation
    Lu, Huan
    Suo, Zhiyong
    Li, Zhenfang
    Xie, Jinwei
    Zhao, Jiwei
    Zhang, Qingjun
    SENSORS, 2018, 18 (07)
  • [2] Repeat-pass SAR Interferometry Experiments with Gaofen-3: A Case Study of Ningbo and Nanjing Area
    Zhang, Tao
    Lv, Xiaolei
    Han, Bing
    Lei, Bin
    Wan, Ling
    Hong, Jun
    2018 FIFTH INTERNATIONAL WORKSHOP ON EARTH OBSERVATION AND REMOTE SENSING APPLICATIONS (EORSA), 2018, : 198 - 202