Weighted joint calibration for interferometric SAR

Mao, Yajing; Xiang, Maosheng; Han, Yunzhong; Gao, Wei

doi:10.1109/jsee.2013.00089

Cited by 5 publications

(6 citation statements)

References 15 publications

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“…Assuming that the initial value of the obtained interferometric system parameter vector is X and the real value is X, for the calibration based on control points, the elevation at the n (n = 1, 2, • • • , N) control points is set to h n , and the single point objective optimization objective function can be expressed as [18]:…”

Section: Inira Optimization Calibration Modelmentioning

confidence: 99%

“…Step 4: Determine whether the absolute value of the coefficient vector A is less than 1. If so, update the optimal solution position according to Equation ( 16); otherwise, search for the optimal solution globally at random, and update the position according to Equation (18).…”

Section: Woa Interferometric Calibration Algorithm Based On Adaptive ...mentioning

confidence: 99%

“…The primary method of calibrating interferometric parameters using ground control points involves solving the interferometric parameters through a sensitivity matrix [8] and optimization equation [18]. The sensitivity matrix method separates the influence of interferometric parameters on the elevation error, expressing the error caused by each interferometric parameter error source linearly.…”

Section: Introductionmentioning

confidence: 99%

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Interferometric Calibration Based on a Constrained Evolutionary Algorithm without Ground Control Points for a Tiangong-2 Interferometric Imaging Radar Altimeter

Li,

Tan,

Wang

et al. 2023

Remote Sensing

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The interferometric imaging radar altimeter (InIRA), mounted on the Tiangong-2 space laboratory, utilizes a small incidence and a short interferometric baseline to achieve altimetry for wide swathes of ocean surface topography and inland water surface elevation. To obtain a high-precision digital elevation model (DEM), calibration of the interferometric system parameters is necessary. Because InIRA utilizes the small-incidence interference system design, serious coupling occurs between the interferometric parameters. Commonly used interferometric calibration methods tend to fall into the local optimal solution for InIRA. Because evolutionary algorithms have a stronger robustness and global search ability, they are better suited to handling the solution space structure under the coupling of complex interferometric parameters. This article establishes an interferometric calibration optimization model for InIRA by utilizing the relative flatness of the lake surface as an inequality constraint. Furthermore, an adaptive penalty coefficient constraint evolutionary algorithm is designed to solve the model. The proposed method was tested on actual InIRA data, and the results indicate that it efficiently adjusts interferometric parameters, enhancing the precision of measurements for Qinghai Lake elevation.

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Section: Inira Optimization Calibration Modelmentioning

confidence: 99%

Section: Woa Interferometric Calibration Algorithm Based On Adaptive ...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Interferometric Calibration Based on a Constrained Evolutionary Algorithm without Ground Control Points for a Tiangong-2 Interferometric Imaging Radar Altimeter

Li,

Tan,

Wang

et al. 2023

Remote Sensing

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“…Since coherence coefficient is an important criterion to evaluate SAR image quality. Therefore, the coherence coefficient of GCPs is weighted in this paper (Mao et al, 2013), the objective function is expressed as:…”

Section: Insar Interferometric Calibration Modelmentioning

confidence: 99%

An Improved Interferometric Calibration Method Based on Independent Parameter Decomposition

Fan

Zuo

et al. 2018

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Interferometric SAR is sensitive to earth surface undulation. The accuracy of interferometric parameters plays a significant role in precise digital elevation model (DEM). The interferometric calibration is to obtain high-precision global DEM by calculating the interferometric parameters using ground control points (GCPs). However, interferometric parameters are always calculated jointly, making them difficult to decompose precisely. In this paper, we propose an interferometric calibration method based on independent parameter decomposition (IPD). Firstly, the parameters related to the interferometric SAR measurement are determined based on the three-dimensional reconstruction model. Secondly, the sensitivity of interferometric parameters is quantitatively analyzed after the geometric parameters are completely decomposed. Finally, each interferometric parameter is calculated based on IPD and interferometric calibration model is established. We take Weinan of Shanxi province as an example and choose 4 TerraDEM-X image pairs to carry out interferometric calibration experiment. The results show that the elevation accuracy of all SAR images is better than 2.54 m after interferometric calibration. Furthermore, the proposed method can obtain the accuracy of DEM products better than 2.43m in the flat area and 6.97m in the mountainous area, which can prove the correctness and effectiveness of the proposed IPD based interferometric calibration method. The results provide a technical basis for topographic mapping of 1:50000 and even larger scale in the flat area and mountainous area.

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“…The block adjustment method can correct the systematic errors of InSAR-DEM and improve the relative and absolute accuracies. According to the error model, the existing InSAR-DEM adjustment methods can be divided into two categories: the methods based on the rigorous [9]- [11] and general model [6], [7], [12]. The former refers to the adjustment method based on the "Range-Doppler-Phase" (RDP) model [10].…”

Section: Introductionmentioning

confidence: 99%

A Novel Three-Dimensional Block Adjustment Method for Spaceborne InSAR-DEM Based on General Models

Wang

Zhang

2023

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

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Digital Elevation Model (DEM) generated by bistatic Synthetic Aperture Radar Interferometry (InSAR) usually has systematic plane and elevation errors. However, the DEM adjustment method based on the function model can only correct systematic elevation error, affecting the plane accuracy of DEM mosaic products. Given this issue, this paper proposes a threedimensional InSAR-DEM block adjustment method based on general models with a separate adjustment strategy, that is, first correct vertical error using the adjustment method based on the function model and then correct horizontal error using the method based on Rational Function Model (RFM) after compensating for elevation errors. In order to extract the Tie Points (TPs) and Ground Control Points (GCPs) used in adjustment, we propose a Normalized Correlation Coefficient matching method based on Complex Slope Maps (NCC-CSM). We conduct experiments using 29 TanDEM-X Co-registered Single look Slant range Complex (CoSSC) data. The accuracies of adjustment results are verified using ICESat-2 ATL08 data and selected GCPs, respectively. The adjustment experiments show that the elevation accuracy of InSAR-DEM is improved from 1.70 m to 1.35 m, the absolute and relative plane accuracies are improved by 5.58 m and 11.53 m, respectively, and the horizontal and vertical geometric discontinuity in the overlapping area disappear. The matching experiments of TPs and GCPs show that the proposed NCC-CSM method is superior to the traditional NCC method based on DEM (NCC-DEM), especially in flat areas.

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Weighted joint calibration for interferometric SAR

Cited by 5 publications

References 15 publications

Interferometric Calibration Based on a Constrained Evolutionary Algorithm without Ground Control Points for a Tiangong-2 Interferometric Imaging Radar Altimeter

Interferometric Calibration Based on a Constrained Evolutionary Algorithm without Ground Control Points for a Tiangong-2 Interferometric Imaging Radar Altimeter

An Improved Interferometric Calibration Method Based on Independent Parameter Decomposition

A Novel Three-Dimensional Block Adjustment Method for Spaceborne InSAR-DEM Based on General Models

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