Polarimetric SAR pixel offset tracking for large-gradient landslide displacement mapping

Cai, Jiehua; Zhang, Lu; Dong, Jie; Wang, Changcheng; Liao, Mingsheng

doi:10.1016/j.jag.2022.102867

Cited by 9 publications

(6 citation statements)

References 32 publications

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“…On the other hand, window sizes of 51 × 51 and 61 × 61 produced overly smoothed results, resulting in the loss of fine details despite having smaller MAE values. This finding is consistent with previous studies [45]. Considering a trade-off between accuracy and preserving fine details, we selected a window size of 41 × 41.…”

Section: Ground Deformation Mapping Using Potsupporting

confidence: 90%

Optimal Pair Selection Applied to Sentinel-2 Images for Mapping Ground Deformation Using Pixel Offset Tracking: A Case Study of the 2022 Menyuan Earthquake (Mw 6.9), China

Wang,

Wu,

Cai

et al. 2023

Remote Sensing

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Pixel Offset Tracking (POT) for optical imagery is a widely used method for extracting large-scale ground deformation. However, the influence of imaging parameters on the measurement accuracy of POT is still unclear. In this study, based on 16 pairs of Sentinel-2 images covering the period before and after the Ms6.9 Menyuan earthquake in 2022, we quantitatively assessed the effects of imaging bands, time intervals between image pairs, and differences in solar zenith angles on the measurement accuracy of optical POT. The results showed that the quality of ground deformation extracted using the near-infrared band was superior to other bands. The accuracy of optical POT measurements exhibited a negative correlation with both the time interval between image pairs and the differences in solar zenith angles. The maximum difference in optical POT measurement accuracy for the near-infrared band between image pairs with different time intervals (5/10/15 days) reached 30.3%, while the maximum difference in deformation measurement accuracy for pairs with different solar zenith angle differences was 30.56%. Utilizing the optimal POT image pair, the accuracy of co-seismic deformation measurement for the Menyuan earthquake improved by 48.3% compared to the worst image pair. The maximum co-seismic horizontal displacement caused by the earthquake was estimated to be 3.00 ± 0.51 m.

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Section: Ground Deformation Mapping Using Potsupporting

confidence: 90%

Optimal Pair Selection Applied to Sentinel-2 Images for Mapping Ground Deformation Using Pixel Offset Tracking: A Case Study of the 2022 Menyuan Earthquake (Mw 6.9), China

Wang,

Wu,

Cai

et al. 2023

Remote Sensing

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“…The main steps include SAR image stitching, image registration and resampling, differential interferometry, and filtering. Due to the unique TOPS imaging mode of the Sentinel-1 data, it was necessary to stitch the burst data and then register it [26] . Based on the project area, bursts 158-159 from the iw3 swath of Sentinel-1 data were selected for stitching.…”

Section: Insar Preprocessing Results and Analysismentioning

confidence: 99%

Research on Land-Based Wind/Solar Power Station Site Deformation Monitoring Based on SBAS-InSAR Technology

Guo,

Liu,

Zheng

et al. 2024

EAI Endorsed Trans Energy Web

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INTRODUCTION: In recent years, China has been building extensive wind/solar power stations. During the construction and operation of land-based wind/solar power stations, deformation monitoring is an important method to investigate the station stability. OBJECTIVES: Therefore, this study uses Sentinel-1 data and time-series InSAR technology to monitor the deformation of photovoltaic and wind power stations in Qingyuan County. METHODS: InSAR technology obtains deformation rate maps in the radar line of sight (LOS) direction for a wide area around the power station sites. Since wind/solar power stations are mainly located in natural environments with relatively dense vegetation coverage, this paper proposes a SBAS-InSAR method integrated with spatiotemporal filtering to accurately extract the time series deformation over a large area. Based on the statistical characteristic difference between the deformation and the atmospheric delay, spatiotemporal filterings are applied to remove the atmospheric delay from the InSAR derived deformation results. RESULTS: The experimental results show that spatiotemporal filtering is an effective and fast method to remove atmospheric delay. CONCLUSION: The integration of BSAS-InSAR with spatiotemporal filtering has great potential applications in the deformation monitoring of land-based wind/solar power station sites, which is critical for the construction and operation of land-based wind/solar power stations.

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“…The variability of the phase shift on the scale of the sliding window provides an estimation of the measurement’s consistency [ 32 ]. Although large correlation windows enhance measurement accuracy, they compromise resolution and blur small-scale motion details [ 14 ]. Therefore, achieving a balance between different window sizes is crucial for accurately evaluating pixel similarity.…”

Section: Discussionmentioning

confidence: 99%

“…In fact, this problem exists in most methods based on the pixel offset tracking principle. For example, Jiehua Cai et al pointed out the dependence of offset estimation on correlation window size in the SAR POT technique [ 14 ]. However, there is limited research on this problem in optical data processing.…”

Section: Introductionmentioning

confidence: 99%

Vector Angular Continuity in the Fusion of Coseismic Deformations at Multiple Optical Correlation Scales

Guo

Zeng

2023

Sensors

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As one of the common techniques for measuring coseismic deformations, optical image correlation techniques are capable of overcoming the drawbacks of inadequate coherence and phase blurring which can occur in radar interferometry, as well as the problem of low spatial resolution in radar pixel offset tracking. However, the scales of the correlation window in optical image correlation techniques typically influence the results; the conventional SAR POT method faces a fundamental trade-off between the accuracy of matching and the preservation of details in the correlation window size. This study regards coseismic deformation as a two-dimensional vector, and develops a new post-processing workflow called VACI-OIC to reduce the dependence of shift estimation on the size of the correlation window. This paper takes the coseismic deformations in both the east–west and north–south directions into account at the same time, treating them as vectors, while also considering the similarity of displacement between adjacent points on the surface. Herein, the angular continuity index of the coseismic deformation vector was proposed as a more reasonable constraint condition to fuse the deformation field results obtained by optical image correlation across different correlation window. Taking the earthquake of 2021 in Maduo, China, as the study area, the deformation with the highest spatial resolution in the violent surface rupture area was determined (which could not be provided by SAR data). Compared to the results of single-scale optical correlation, the presented results were more uniform (i.e., more consistent with published results). At the same time, the proposed index also detected the strip fracture zone of the earthquake with impressive clarity.

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Polarimetric SAR pixel offset tracking for large-gradient landslide displacement mapping

Cited by 9 publications

References 32 publications

Optimal Pair Selection Applied to Sentinel-2 Images for Mapping Ground Deformation Using Pixel Offset Tracking: A Case Study of the 2022 Menyuan Earthquake (Mw 6.9), China

Optimal Pair Selection Applied to Sentinel-2 Images for Mapping Ground Deformation Using Pixel Offset Tracking: A Case Study of the 2022 Menyuan Earthquake (Mw 6.9), China

Research on Land-Based Wind/Solar Power Station Site Deformation Monitoring Based on SBAS-InSAR Technology

Vector Angular Continuity in the Fusion of Coseismic Deformations at Multiple Optical Correlation Scales

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