Phase Imbalance Analysis of GF-3 Along-Track InSAR Data for Ocean Current Measurement

Yang, Junxin; Yuan, Xiaojun; Han, Bing; Zhao, Liangbo; Sun, Jianbao; Shang, Mingyang; Wang, Xiaochen; Ding, Chibiao

doi:10.3390/rs13020269

Cited by 7 publications

(3 citation statements)

References 28 publications

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“…It is the first fully C-band polarimetric SAR satellite in China and is capable of acquiring high-resolution and largewidth SAR images. It has been widely used in the application of ocean wind, ship detection, and terrain survey [14][15][16][17]. Wang et al, 2019 made an attempt to use only five Gaofen-3 SAR images to perform the land subsidence over Beijing using InSAR technology [18]-except that there is limited research and applications related to land subsidence monitoring based on Gaofen-3 SAR images via time series InSAR technology due to its imperfect interferometric performance.…”

Section: Introductionmentioning

confidence: 99%

Revealing the Land Subsidence Deceleration in Beijing (China) by Gaofen-3 Time Series Interferometry

Han

Dai

et al. 2023

Remote Sensing

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Revealing the land subsidence in Beijing, China, induced by the massive groundwater extraction in the past three decades, is important to mitigate the hazards and protect the residences and infrastructure. Many SAR (Synthetic Aperture Radar) datasets have been successfully applied to reveal the land subsidence over Beijing in previous research, while few works were achieved on land subsidence revealed by time-series InSAR (Interferometric Synthetic Aperture Radar) with Gaofen-3 SAR images. In this study, we successfully perform the time-series InSAR analysis with Gaofen-3 SAR images to extract the land subsidence in Beijing from 2020 to 2021. The Sentinel-1 SAR images were used to assess the accuracy of Gaofen-3 images. The subsidence scale and extent are consistent in detected major subsidence bowls between the two datasets. The spatial–temporal evolution and the deceleration of Beijing land subsidence were revealed by comparing with the Sentinel-1 results from 2017 to 2020. Moreover, we evaluated the interferometric performance of Gaofen-3 satellite SAR imagery and analyzed the main factors that mostly influence the coherence and quality of interferograms. Our results proved that the long perpendicular baselines decrease the coherence seriously over the study area, and the artifacts induced by inaccurate orbit information reduce the quality of the Gaofen-3 interferograms. Refining and removing the two main artifacts could improve the quality of interferograms formed by Gaofen-3 SAR images.

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Section: Introductionmentioning

confidence: 99%

Revealing the Land Subsidence Deceleration in Beijing (China) by Gaofen-3 Time Series Interferometry

Han

Dai

et al. 2023

Remote Sensing

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“…Therefore, clutter suppression is a critical and challenging problem in GMTI data processing [5,6]. Commonly, clutter suppression can be performed by a displaced-phasecenter antenna (DPCA) [1,7], along-track interferometry (ATI) [8][9][10], and space-time adaptive processing (STAP) [11,12]. STAP takes advantage of the space-time differences between clutter and ground moving target (GMT) echoes to realize clutter suppression, which is regarded as the optimum processing method and obtains the best performance.…”

Section: Introductionmentioning

confidence: 99%

A Robust Dual-Platform GMTI Method against Nonuniform Clutter

Zou

Jin

et al. 2022

Remote Sensing

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The ground moving-target indication (GMTI) technique can detect civil and military moving targets, which means that this technique has received much attention. Strong clutter background suppression is one of the critical problems in this application. However, the detection performance in heterogeneous environment can be degraded due to the inaccurate estimation of the clutter covariance matrix (CCM). In this paper, we propose a robust GMTI method using a spaceborne dual-platform synthetic aperture radar (SAR) system, which can obtain highly accurate CCM in nonuniform clutter. Firstly, the accurate CCM is estimated based on the SAR image obtained by the former platform. Then, space–time adaptive processing (STAP) is carried out using the obtained the CCM. Finally, the detection threshold is set according to the estimated CCM and detection is executed accurately. Compared with the traditional CCM estimation method in STAP using the clutter nearby the cell under test, this method directly estimates the CCM using the clutter of the cell under test, which can avoid CCM estimation mistakes in heterogeneous clutter environment. The clutter can be whitened and depressed more effectively. Additionally, with the accurate threshold acquired from the CCM, the detection probability can be effectively improved under a certain false-alarm criterion. Based on simulation data, GMTI experiments in a heterogeneous environment such as clutter with strong pollution, junction zone of hot and cold clutter, and clutter with nonuniform power are carried out; the results show that the moving targets can be effectively detected with the proposed method.

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“…Owing to the influence of the geostrophic Coriolis force, the remote sensing measurement of Kuroshio current speed can be performed with the spaceborne altimeters [12,13], but the spatial resolution is relatively rough, reaching tens of kilometers, and the data around the land are easily missed. Gaofen-3 is China's first C-band full-polarization synthetic aperture radar imaging satellite, which provides reliable high-resolution SAR image data for ocean remote sensing [14]. So far, Gaofen-3 SAR data have been used to study ocean surface waves [15], ocean winds [16] and internal waves [17].…”

Section: Introductionmentioning

confidence: 99%

Measuring Ocean Surface Current in the Kuroshio Region Using Gaofen-3 SAR Data

Chong

Sun

et al. 2021

Applied Sciences

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The Kuroshio is the strongest warm current in the western North Pacific, which plays a crucial role in climate and human activities. In terms of this, the accurate acquisition of ocean surface current velocity and direction in the Kuroshio region is of great research value. Gaofen-3 synthetic aperture radar (SAR) provides data support for the study of ocean surface current measurements in the Kuroshio region, but no relevant experimental result has been published yet. In this paper, four available stripmap mode SARs’ data acquired by Gaofen-3 in the Kuroshio region are used for measuring the ocean surface current field. In general, the Doppler centroid anomaly (DCA) estimation is a common method to infer ocean surface currents from single-antenna stripmap data, but only the radial velocity component can be retrieved. In order to measure current vectors, a novel method combining the sub-aperture processing and the least squares (LS) technology is suggested and demonstrated by applying to the Gaofen-3 SAR data processing. The experiment’s results agree well with model-derived ocean current data, indicating that the Gaofen-3 SAR has the capability to accurately retrieve the ocean surface current field in the Kuroshio region and motivate further research by providing more data.

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Phase Imbalance Analysis of GF-3 Along-Track InSAR Data for Ocean Current Measurement

Cited by 7 publications

References 28 publications

Revealing the Land Subsidence Deceleration in Beijing (China) by Gaofen-3 Time Series Interferometry

Revealing the Land Subsidence Deceleration in Beijing (China) by Gaofen-3 Time Series Interferometry

A Robust Dual-Platform GMTI Method against Nonuniform Clutter

Measuring Ocean Surface Current in the Kuroshio Region Using Gaofen-3 SAR Data

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