Optimal 3D deformation measuring in inclined geosynchronous orbit SAR differential interferometry

Hu, Cheng; Li, Yuanhao; Dong, Xichao; Wang, Rui; Cui, Chang

doi:10.1007/s11432-016-9083-4

Cited by 50 publications

(28 citation statements)

References 25 publications

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“…As a developed type of high-accuracy deformation monitoring system, ground-based synthetic aperture radar (GB-SAR) has been widely utilized to monitor the surface deformations of natural or geological slopes [1,2]. With two radar images acquired at different times and from the same position, their differential phases can be explored to measure 1D deformations based on the differential interferometry technique [3,4]. Since atmospheric conditions (temperature, humidity, pressure etc.)…”

Section: Introductionmentioning

confidence: 99%

A Compensation Method for a Time–Space Variant Atmospheric Phase Applied to Time-Series GB-SAR Images

Deng

Tian

et al. 2019

Remote Sensing

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An atmospheric effect is a main error source that affects interferometric measurements. When a ground-based multiple-input multiple-output (GB-MIMO) radar, i.e., a specific type of GBsynthetic aperture radar (GB-SAR), was utilized to continuously monitor an open-pit mine, the interferometric phases of some interferograms were complexly space-variant due to time-variant weather conditions. The conventional method of atmospheric phase (AP) compensation was no longer applicable. This paper proposes an improved compensation method of a time-space variant AP applied to time-series GB-SAR images. The permanent scatterers (PSs) were classified into three types based on their different spatial properties: The noise-dominant PS (NPS), the deformationdominant PS (DPS), and the atmospheric effect-dominant PS (APS). The NPSs were firstly rejected based on the differential phase analysis of neighboring PSs. The DPSs were then rejected based on the cluster partition and selection. With the APSs, the space-variant AP was estimated with a spatial interpolation. To validate the feasibility of the proposed method, short-term and long-term experimental datasets were processed. Comparisons with a conventional method proved that the proposed method can well reduce AP errors and avoid the misunderstanding of motional areas.

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Section: Introductionmentioning

confidence: 99%

A Compensation Method for a Time–Space Variant Atmospheric Phase Applied to Time-Series GB-SAR Images

Deng

Tian

et al. 2019

Remote Sensing

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“…Therefore, to optimize the performances of GEO InSAR formation, we need to reduce the along-track baseline as much as possible, while the vertical baseline should be as close to the optimal baseline as possible. The master satellite of the formation is selected with an inclination of 16 • [29], which has an excellent coverage performance of low and medium latitude regions (such as China), so we only need to design the slave satellite's orbital elements.…”

Section: Eci-rme and Corresponding Formation Design Methodsmentioning

confidence: 99%

Formation Design for Single-Pass GEO InSAR Considering Earth Rotation Based on Coordinate Rotational Transformation

Chen

Dong

et al. 2020

Remote Sensing

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The single-pass geosynchronous synthetic aperture radar interferometry (GEO InSAR) adopts the formation of a slave satellite accompanying the master satellite, which can reduce the temporal decorrelation caused by atmospheric disturbance and observation time gap between repeated tracks. Current formation design methods for spaceborne SAR are based on the Relative Motion Equation (RME) in the Earth-Centered-Inertial (ECI) coordinate system (referred to as ECI-RME). Since the Earth rotation is not taken into account, the methods will lead to a significant error for the baseline calculation while applied to formation design for GEO InSAR. In this paper, a formation design method for single-pass GEO InSAR based on Coordinate Rotational Transformation (CRT) is proposed. Through CRT, the RME in Earth-Centered-Earth-Fixed (ECEF) coordinate system (referred to as ECEF-RME) is derived. The ECEF-RME can be used to describe the accurate baseline of close-flying satellites for different orbital altitudes, but not limited to geosynchronous orbit. Aiming at the problem that ECEF-RME does not have a regular geometry as ECI-RME does, a numerical formation design method based on the minimum baseline error criterion is proposed. Then, an analytical formation design method is proposed for GEO InSAR, based on the Minimum Along-track Baseline Criterion (MABC) subject to a fixed root mean square of the perpendicular baseline. Simulation results verify the validity of the ECEF-RME and the analytical formation design method. The simulation results also show that the proposed method can help alleviate the atmospheric phase impacts and improve the retrieval accuracy of the digital elevation model (DEM) compared with the ECI-RME-based approach.The performance of InSAR and TomoSAR based on monostatic GEO SAR significantly degrades due to temporal decorrelation (caused by the scene scattering fluctuation during the observation time gap between repeated tracks) and atmospheric disturbance. Similar to LEO SAR [8], we can use the formation GEO SAR to form a real-time baseline to improve interferometry performance [9,10], realizing single-pass GEO InSAR. Additionally, multiple phase centers can be generated in GEO SAR formation, and a flexible baseline configuration can enrich the functions.The primary task of SAR formation is to design the satellite orbital elements to obtain a reasonable formation configuration and then meet the application performance requirements. The formation design of LEO SAR has been adequately studied, and a very mature solution has been found. A very typical method is to describe the geometry of the formation using the Relative Motion Equation (RME) based on the difference between the master satellite's and slave satellite's orbital elements, and combining the mission requirements to design the satellite's orbital elements [11].The theoretical study of the Relative Motion Equation has gone through three stages. The earliest form of RME, which was used to complete spacecraft rendezvous and docking tasks [12], was obtain...

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“…The results in (25) show that the accuracy of the 3-D deformation retrieval depends on the imaging geometry of the combined data. Here, we introduce the concept of position dilution of precision (PDOP) in the global navigation satellite system (GNSS) to assess the accuracy of the 3-D deformation retrieval [8,25]. According to the definition of PDOP, the estimation covariance matrix of 3-D deformation retrieval is:…”

Section: -D Deformation Motion Retrievalmentioning

confidence: 96%

“…This proves the effectiveness of the proposed improved D-TomoSAR model, which provides a feasible solution to the realization of estimations of the 3-D deformation. Furthermore, once the 3-D deformation components along the slant range, azimuth, and elevation direction were estimated, the corresponding deformation parameters in North-South, East-West, and Up-Down directions could be calculated by (25), as shown in Table 5. Table 4.…”

Section: Scatterer Elevation (M)mentioning

confidence: 99%

Retrieval of Three-Dimensional Surface Deformation Using an Improved Differential SAR Tomography System

Wang

Liu

2019

Electronics

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Conventional differential synthetic aperture radar tomography (D-TomoSAR) can only capture the scatterers’ one-dimensional (1-D) deformation information along the line of sight (LOS) of the synthetic aperture radar (SAR), which means that it cannot retrieve the three-dimensional (3-D) movements of the ground surface. To retrieve the 3-D deformation displacements, several methods have been proposed; the performance is limited due to the insufficient sensitivity for retrieving the North-South motion component. In this paper, an improved D-TomoSAR model is established by introducing the scatterers’ 3-D deformation parameters in slant range, azimuth, and elevation directions into the traditional D-TomoSAR model. The improved D-TomoSAR can be regarded as a multi-component two-dimensional (2-D) polynomial phase signal (PPS). Then, an effective algorithm is proposed to retrieve the 3-D deformation parameters of the ground surface by the 2-D product high-order ambiguity function (PHAF) with the relax (RELAX) algorithm. The estimation performance is investigated and compared with the traditional algorithm. Simulations and experimental results with semi-real data verify the effectiveness of the proposed signal model and algorithm.

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Optimal 3D deformation measuring in inclined geosynchronous orbit SAR differential interferometry

Cited by 50 publications

References 25 publications

A Compensation Method for a Time–Space Variant Atmospheric Phase Applied to Time-Series GB-SAR Images

A Compensation Method for a Time–Space Variant Atmospheric Phase Applied to Time-Series GB-SAR Images

Formation Design for Single-Pass GEO InSAR Considering Earth Rotation Based on Coordinate Rotational Transformation

Retrieval of Three-Dimensional Surface Deformation Using an Improved Differential SAR Tomography System

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