Improvement of Gaofen-3 Absolute Positioning Accuracy Based on Cross-Calibration

Deng, Minghua; Zhang, Guo; Zhao, Ruishan; Li, Shaoning; Li, Jiansong

doi:10.3390/s17122903

Cited by 36 publications

(29 citation statements)

References 19 publications

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“…Under the condition of ensuring geometric accuracy (Deng et al, 2017), the elevation of GCPs is calculated based on the TDR model, and the accuracy is assessed with the elevation of the known GCPs. In Table 2 Table 2.…”

Section: Results and Analysismentioning

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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Section: Results and Analysismentioning

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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“…Sci. 2020, 10, 806 9 of 16 and more details and edges were preserved. Figure 8 shows the local details of Figure 7.…”

Section: Phase Filteringmentioning

confidence: 99%

“…Table 2 lists the imaging modes and parameters of Gaofen-3 [2]. At present, the research on Gaofen-3 is mainly focused on the improvement of its geometric positioning accuracy [16], the application of ocean wind or wave retrieval [17,18] and ship detection [19]. However, there is a lack of research on the interferometric capability of Gaofen-3, especially the interferometric measurement of terrain elevation with its SAR images.…”

Section: Introductionmentioning

confidence: 99%

Application and Evaluation of the Gaofen-3 Satellite on a Terrain Survey with InSAR Technology

2020

Self Cite

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The Gaofen-3 satellite is the first SAR satellite independently developed in China that achieves interferometric imaging and measurement, which improves upon Chinese civil SAR satellite data. To verify the ability of the Gaofen-3 satellite’s InSAR technology, we acquired data from Dengfeng, China, to evaluate the application and accuracy of an InSAR terrain survey. To reduce the effects introduced by data processing of Gaofen-3 data, high-accuracy InSAR image pair co-registration and phase filtering methods were adopted. Six GCPs data and 1:2000-scale DEM data were used to evaluate the elevation accuracy. In addition, for comparison with other satellites, we processed the dataset of the same area acquired by the non-civilian Yaogan-29 satellite with the same methods and evaluated the results. The experimental results indicated that the interferometric data of the Gaofen-3 satellite can achieve an accuracy of higher than 4 m of interferometric height measurement. Therefore, it will have broad prospects in the domestic InSAR application. Our research provides a certain value for the reference of the development of InSAR sensors in China.

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“…The GF-3 SAR satellite is a civilian microwave-based imaging satellite, China’s first C-band SAR satellite. With 12 imaging modes, it is the SAR satellite with the most number of imaging modes in the world [ 3 , 4 ]. The resolution of GF-3 image is 1~500 m [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Unscented Kalman Filter Phase Unwrapping Method and Its Application on Gaofen-3 Interferometric SAR Data

Gao

Zhang

et al. 2018

Sensors

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Phase unwrapping (PU) is a key step in the reconstruction of digital elevation models (DEMs) and the monitoring of surface deformation from interferometric synthetic aperture radar (SAR, InSAR) data. In this paper, an improved PU method that combines an amended matrix pencil model, an adaptive unscented kalman filter (AUKF), an efficient quality-guided strategy based on heapsort, and a circular median filter is proposed. PU theory and the existing UKFPU method are covered. Then, the improved method is presented with emphasis on the AUKF and the circular median filter. AUKF has been well used in other fields, but it is for the first time applied to interferometric images PU, to the best of our knowledge. First, the amended matrix pencil model is used to estimate the phase gradient. Then, an AUKF model is used to unwrap the interferometric phase based on an efficient quality-guided strategy based on heapsort. Finally, the key results are obtained by filtering the results using a circular median. The proposed method is compared with the minimum cost network flow (MCF), statistical cost network flow (SNAPHU), regularized phase tracking technique (RPTPU), and UKFPU methods using two sets of simulated data and two sets of experimental GF-3 SAR data. The improved method is shown to yield the greatest accuracy in the interferometric phase maps compared to the methods considered in this paper. Furthermore, the improved method is shown to be the most robust to noise and is thus most suitable for PU of GF-3 SAR data in high-noise and low-coherence regions.

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Improvement of Gaofen-3 Absolute Positioning Accuracy Based on Cross-Calibration

Cited by 36 publications

References 19 publications

An Improved Interferometric Calibration Method Based on Independent Parameter Decomposition

An Improved Interferometric Calibration Method Based on Independent Parameter Decomposition

Application and Evaluation of the Gaofen-3 Satellite on a Terrain Survey with InSAR Technology

Adaptive Unscented Kalman Filter Phase Unwrapping Method and Its Application on Gaofen-3 Interferometric SAR Data

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