Research progress on geosynchronous synthetic aperture radar

Hu, Cheng; Chen, Ziyang; Li, Yuanhao; Dong, Xichao; Hobbs, Stephen

doi:10.1016/j.fmre.2021.04.008

Cited by 22 publications

(9 citation statements)

References 72 publications

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“…This has also given rise to many new configurations of GEO SAR, including GEO spaceborne-airborne bistatic SAR imaging [16], [17] and formation-flying GEO SAR [18], [19]. With appropriate orbit parameter design, GEO SAR can also be used for three-dimensional imaging of scenes, such as circular SAR (CSAR) [20] and tomographic SAR (TomoSAR) [21].…”

Section: > Replace This Line With Your Manuscript Id Number (Double-c...mentioning

confidence: 99%

Baseline Optimization for Spatial-Temporal Coupling in Geosynchronous Differential Synthetic Aperture Radar Tomography

Dong,

Liu,

Chen

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Differential Synthetic Aperture Radar Tomography (D-TomoSAR) uses multiple SAR acquisitions at different times to form an elevation-time 2D synthetic aperture, enabling recovery of the target's 3D structure and deformation velocity. However, the imaging performance of D-TomoSAR is influenced by the spatial-temporal baseline distribution, which is one of the crucial factors. Due to the difference in orbit altitude, the effects of various perturbation forces on geosynchronous SAR (GEO SAR) are significantly different from those on low earth orbit SAR (LEO SAR), leading to different geometries in the spatial-temporal baseline distributions of GEO SAR and LEO SAR in the repeatpass acquisitions. The spatial-temporal baseline distribution of LEO SAR is random, while that of GEO SAR is coupled. Although GEO SAR obtains a large number of acquisitions due to the short repeat-pass time, using data under all spatial-temporal baselines for D-TomoSAR doesn't necessarily provide the best imaging results. Therefore, how to select spatial-temporal baselines that can improve estimation accuracy is important. In this paper, the Cramé r-Rao lower bound (CRLB) of GEO D-TomoSAR estimation accuracy is determined by considering multiple factors, including baseline decorrelation and spatial-temporal coupling. The optimal spatial-temporal baseline selection is modeled as a multi-objective problem and solved by the Nondominated Sorting Genetic Algorithm II (NSGA-II). Given the absence of in-orbit GEO SAR and the orbital similarity between GEO SAR and BeiDou Inclined Geosynchronous Orbit (IGSO) satellite, the real ephemeris of BeiDou IGSO satellite is used to simulate the baseline distribution of GEO SAR and verify the baseline optimization method.

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Section: > Replace This Line With Your Manuscript Id Number (Double-c...mentioning

confidence: 99%

Baseline Optimization for Spatial-Temporal Coupling in Geosynchronous Differential Synthetic Aperture Radar Tomography

Dong,

Liu,

Chen

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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“…SA-BSAR can obtain the scattering information of targets in all directions as required, and achieve large area imaging of the observation scene with the wide coverage of satellite beams. The SA-BSAR has become a research hotspot in the military and civil fields [4] .…”

Section: Introductionmentioning

confidence: 99%

A new spaceborne/airborne bistatic synthetic aperture radar time synchronization method based on fractional Fourier transform

Zhou,

Gui,

et al. 2023

5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023)

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With the change of observation demands, traditional monostatic synthetic aperture radar(SAR) can no longer meet the requirements such as passive reception and cooperative multimode imaging. Spaceborne/Airborne hybrid bistatic SAR(SA-BSAR) emerges as the times require, and has been widely concerned with its flexibility, concealment. However, as the receiver and transmitter do not share the same frequency oscillation source, the impact of time error on imaging cannot be ignored as the satellite operates for a long time. At the same time, SA-BSAR is in the form of double root sign in the course of slant range. How to obtain two-dimensional(2-D) spectrum is also the key to imaging. This paper proposes a new method to estimate time error based on fractional Fourier transform (FRFT), which simplifies the traditional time error estimation steps. Finally, the Air-Phase method is used to solve the 2-D spectrum to achieve the target imaging. The algorithms proposed in this paper are implemented by FFT without interpolation, which ensures the imaging efficiency. The final experimental results show the effectiveness of the algorithm.

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“…The development of Synthetic Aperture Radar (SAR) technology has opened new opportunities for identifying potential landslides in alpine forest regions [33]. SAR satellites have various advantages, such as being able to penetrate vegetation, continuously observe the earth surface with all-day and all-weather capability, and collect high-resolution SAR images with a short time interval [34]. With continuous SAR images, Interferometric SAR (InSAR) techniques, including Differential InSAR (D-InSAR) [35,36], Permanent Scatterer (PS) InSAR [37,38], and Small Baselines Subset (SBAS) InSAR [39,40], can be applied to analyze ground deformation and identify potential landslides with high precision, especially in alpine forest regions [41,42].…”

Section: Introductionmentioning

confidence: 99%

Improving the Understanding of Landslide Development in Alpine Forest Regions Using the InSAR Technique: A Case Study in Xiaojin County China

Zhou,

Guo,

Huang

et al. 2023

Applied Sciences

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Employing a small baseline subset Interferometric Synthetic Aperture Radar (SBAS-InSAR) and hotspot analysis, this study identified 81 potential landslides in a 768.7 km2 area of Xiaojin county, eastern Tibetan Plateau. Subsequent time-series deformation analysis revealed that these potential landslides are in the secondary creep stage. The newly identified landslides were compared to a landslide inventory (LI), established through field surveying, in terms of causative factors, including altitude, slope, relief amplitude, distance to river, distance to road, and slope curvature. From the comparison, the InSAR technique showed the following advantages: (1) it identified 25 potential landslides at high altitudes (>3415 m) in addition to the low-altitude landslides identified through the field survey. (2) It obtained approximately 37.5% and 70% increases in the number of potential landslides in the slope angle ranges of 20°–30° and 30°–40°, respectively. (3) It revealed significant increases in potential landslides in every relief amplitude bin, especially in the range from 58 m to 92 m. (4) It can highlight key geological factors controlling landslides, i.e., the stratigraphic occurrence and key joints as the InSAR technique is a powerful tool for identifying landslides in all dip directions. (5) It reveals the dominant failure modes, such as sliding along the soil–rock interface and/or interfaces formed by complicated combinations of discontinuities. This work presents the significant potential of InSAR techniques in gaining deeper knowledge on landslide development in alpine forest regions.

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Research progress on geosynchronous synthetic aperture radar

Cited by 22 publications

References 72 publications

Baseline Optimization for Spatial-Temporal Coupling in Geosynchronous Differential Synthetic Aperture Radar Tomography

Baseline Optimization for Spatial-Temporal Coupling in Geosynchronous Differential Synthetic Aperture Radar Tomography

A new spaceborne/airborne bistatic synthetic aperture radar time synchronization method based on fractional Fourier transform

Improving the Understanding of Landslide Development in Alpine Forest Regions Using the InSAR Technique: A Case Study in Xiaojin County China

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