SBAS-InSAR deformation reconstruction based on low-rank matrix completion in southern Zibo, China

Yu, Z.M.; Huang, Guoman; Zhang, Chenxi; Zhao, Xin

doi:10.1007/s12517-021-06533-5

Cited by 3 publications

(2 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…TS-InSAR techniques that are aimed to detect point-like targets with high reflectivity and slight influence of temporal and geometric decoherence, generally include two types, permanent scatterer (PS) interferometry with single master image and small baseline subset (SBAS) interferometry with multiple master images [11]- [18]. In addition, a new method named Multiple-master Coherent Target Small-Baseline InSAR (MCTSB-InSAR) was presented in [19], [20], which integrated the advantages of and PS-InSAR and SBAS-InSAR and proved to be a useful tool for measuring ground displacement.…”

Section: Introductionmentioning

confidence: 99%

Mining Subsidence Monitoring With Modified Time-Series SAR Interferometry Method Based on the Multi-Level Processing Strategy

Zhang

et al. 2021

IEEE Access

View full text Add to dashboard Cite

The supply of coal is related to the stability of social development in China. Coal mining faces are generally located under farmland and wasteland to avoid destroying the livelihood and property of residents, which seriously affects the selection of permanent scatterer (PS) with time-series interferometric synthetic aperture radar (TS-InSAR) method. The advanced TS-InSAR (ATS-InSAR) method combining PS and distributed scatterer (DS) monitoring modules is a useful tool to increase measurement points. However, the number of DS and the accuracy of measurement are different with different thresholds of temporal coherence. On the basis of ATS-InSAR, we propose a modified method applying the multi-level processing strategy to obtain more reliable deformation information and improve the ability of ATS-InSAR stability monitoring in an area of moderate coherence in this paper. 16 sentinel-1A images are used to monitor mining subsidence in Peixian, China. The results of three different methods are cross-verified. Meanwhile, reliable DS pixels are identified by using the thresholding of both temporal coherence and Pearson correlation coefficient through the hierarchical processing. The results show that the deformation of the modified method reveals a large subsidence with the maximum rate of -563 mm/yr. The number of measurement points selected by the modified method is about 6.6 times that of the TS-InSAR method, and 1.3 times that of the ATS-InSAR method. The modified strategy can extract a great number of reliable pixels and reduce error propagation to ensure measurement accuracy. This research offers information to relevant departments for risk management purpose.INDEX TERMS Distributed scatterers (DS), interferometric synthetic aperture radar (InSAR), mining subsidence

show abstract

Section: Introductionmentioning

confidence: 99%

Mining Subsidence Monitoring With Modified Time-Series SAR Interferometry Method Based on the Multi-Level Processing Strategy

Zhang

et al. 2021

IEEE Access

View full text Add to dashboard Cite

show abstract

“…Land subsidence is a common geological disaster with the characteristics of slow formation and wide impact [1], [2]. Permanent scatterer (PS) interferometry and small baseline subset (SBAS) interferometry are time-series InSAR techniques that has a wide application in land subsidence monitoring [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18]. Furthermore, Zhang et al [19][20][21][22] combined the advantages of PS and SBAS InSAR, and presented a new method named Multiple-master Coherent Target Small-Baseline InSAR (MCTSB-InSAR), which is a useful tool for measuring ground displacement.…”

Section: Introductionmentioning

confidence: 99%

An Improved Method for Phase Triangulation Algorithm Based on the Coherence Matrix Eigen-Decomposition in Time-Series SAR Interferometry

He²,

Zhuang

et al. 2021

IEEE Access

View full text Add to dashboard Cite

Time-series SAR interferometry, which combines permanent scatterers (PSs) and distributed scatterers (DSs), has been strongly developed in recent years. Unlike PS, DS corresponds to a natural target whose neighboring pixels share similar reflectivity values. The selection of DS is relevant to the goodnessof-fit value, the estimation of which is based on all possible combined interferometric phases and fails to avoid the adverse effect of low-quality phases. This paper used eigen-decomposition of coherence matrix that constructed based on the identified homogeneous pixels to perform phase optimization, and then only the interferometric phases with low noise and clear fringes are utilized to measure the goodness-of-fit. 30 Sentinel-1A images were applied to test the improved method of land subsidence monitoring in Beijing, China. The deformation results of different methods were cross verified and the area statistics of the study area were carried out. The results show that the maximum subsidence monitored by the improved method is located in Jinzhan Town with a maximum rate of -109 mm/yr. This improved method extracts more measurement points with accuracy ensured, which is proved to be an effective way to provide the high spatial density of deformation measurements. The land subsidence in this area is mainly caused by the excessive exploitation of groundwater resources. This research provides support for the prevention and control work of relevant departments.

show abstract

Monitoring land subsidence through improved CAESAR algorithm in time-series InSAR processing

He,

Song

et al. 2024

Geocarto International

View full text Add to dashboard Cite

SBAS-InSAR deformation reconstruction based on low-rank matrix completion in southern Zibo, China

Cited by 3 publications

References 36 publications

Mining Subsidence Monitoring With Modified Time-Series SAR Interferometry Method Based on the Multi-Level Processing Strategy

Mining Subsidence Monitoring With Modified Time-Series SAR Interferometry Method Based on the Multi-Level Processing Strategy

An Improved Method for Phase Triangulation Algorithm Based on the Coherence Matrix Eigen-Decomposition in Time-Series SAR Interferometry

Monitoring land subsidence through improved CAESAR algorithm in time-series InSAR processing

Contact Info

Product

Resources

About