Title | ||
---|---|---|
Optimal 3D deformation measuring in inclined geosynchronous orbit SAR differential interferometry. |
Abstract | ||
---|---|---|
Three dimensional (3D) deformation can be obtained by using differential interferometric synthetic aperture radar (D-InSAR) technique with the cross-heading tracks data of low earth orbit (LEO) SAR. However, this method has drawbacks of the low temporal sampling rate and the limited area and accuracy for 3D defor- mation retrieval. To address the aforementioned problems, by virtue of a geosynchronous (GEO) SAR platform, this paper firstly demonstrates the expressions of 3D deformation and the corresponding errors in GEO SAR multi-angle processing. An optimal multi-angle data selection method based on minimizing position dilution of precision (PDOP) is proposed to obtain a good 3D deformation retrieval accuracy. Moreover, neural network is utilized for analyzing the accuracy of the retrieved 3D deformation under different orbit configurations and geo-locations. Finally, the proposed methods and the theoretical analysis are verified by simulation experiments. A 3D deformation retrieval accuracy of the order of centimeter-level or even millimeter-level can be obtained by using the selected optimal multi-angle data. |
Year | DOI | Venue |
---|---|---|
2017 | 10.1007/s11432-016-9083-4 | SCIENCE CHINA Information Sciences |
Keywords | Field | DocType |
geosynchronous synthetic aperture radar (GEO SAR), three dimensional (3D) deformation measurement, multi-angle processing, differential SAR (D-InSAR), neural network | Interferometric synthetic aperture radar,Control theory,Sampling (signal processing),Algorithm,Geosynchronous orbit,Interferometry,Earth's orbit,Deformation (mechanics),Artificial neural network,Dilution of precision,Geodesy,Mathematics | Journal |
Volume | Issue | ISSN |
60 | 6 | 1674-733X |
Citations | PageRank | References |
4 | 0.52 | 15 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hu, Cheng | 1 | 12 | 8.35 |
yuanhao li | 2 | 30 | 7.30 |
Xichao Dong | 3 | 76 | 20.58 |
Rui Wang | 4 | 67 | 20.39 |
Chang Cui | 5 | 7 | 3.74 |