Process of MSHPC acquisition. After testing all pixels in the window, the SHPCs, which have the maximum pixel number of SHPs, include MSHPC.

Process of MSHPC acquisition. After testing all pixels in the window, the SHPCs, which have the maximum pixel number of SHPs, include MSHPC.

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The Coherent Pixels Technique Interferometry Synthetic Aperture Radar (CPT-InSAR) method of inverting surface deformation parameters by using high-quality measuring points possesses the flaw inducing sparse measuring points in non-urban areas. In this paper, we propose the Adaptive Coherent Distributed Pixel InSAR (ACDP-InSAR) method, which is an a...

Contexts in source publication

Context 1
... The AD test method is used to test each pixel within a multilook window in order to obtain the MSHPC within the multilook window, and the schematic diagram of AD test in multilook window is shown in Figure 1. The pixel number of MSHPC is used to determine whether the window is considered as a candidate DSP, and the steps for selecting a candidate DSP are as follows. ...
Context 2
... date of the main image used in the coregistration is 8 January 2020, and the amplitude image of the main image is shown in Figure 10a. We follow the steps in Section 2.4 to process the SLC data of the study area in case 2. The multilook ratio between azimuth and range is 4:20. ...
Context 3
... results of the deformation rate based on the CPT method and the deformation rate based on the ACDP-InSAR method in the Shigatse M5.9 earthquake are shown in Figure 11. By comparing both results, it can be observed that the number of measuring point has increased significantly, and the results of the deformation rate are more consistent. ...
Context 4
... increase in the density of monitoring points allows detecting surface deformations more clearly. It can be observed from Figure 11 that the fault zone of the earthquake is very obvious, and the range and absolute value of surface subsidence on the east side are larger than the range and absolute value of surface uplift on the west side. There is no monitoring point in the center of the deformation field because the deformation gradient is too large, which results in decoherence. ...
Context 5
... case 1 as an example, we counted the time consumed by ACDP-InSAR and SqueenSAR in SHP selection and phase-link steps. The statistical diagram of algorithm running time is shown in Figure 12. The diagram shows, in Figure 12, that the processing speed of ACDP-InSAR in SHP selection is lower than that of SqueenSAR, and the processing speed of the phase link is higher than that of SqueenSAR. ...
Context 6
... statistical diagram of algorithm running time is shown in Figure 12. The diagram shows, in Figure 12, that the processing speed of ACDP-InSAR in SHP selection is lower than that of SqueenSAR, and the processing speed of the phase link is higher than that of SqueenSAR. The overall processing speed of the method proposed in this paper significantly improved. ...
Context 7
... observed from Figure 13c, the leveling results are practically consistent with the results of ACDP-InSAR, and individual field observation points are different. The specific data values are compared, as shown in Figure 14. According to statistics, the root mean square error (RMSE) between ACDP-InSAR results and leveling data is 5.45 mm/year, which proves that ACDP-InSAR results are reliable. ...

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Citations

... To address the inherent limitation of sparse measurements in non-urban areas in the conventional coherent pixels technique InSAR (CPT-InSAR), an adaptive coherent distributed pixels selection method was integrated into the CPT-InSAR processing chain [35]. DS pixels were identified by classical statistical testing and their phases were also optimized by the joint use of the phase triangle algorithm (PTA) and Eigen decompositionbased maximum likelihood estimator of interferometric phase (EMI) [35]. ...
... To address the inherent limitation of sparse measurements in non-urban areas in the conventional coherent pixels technique InSAR (CPT-InSAR), an adaptive coherent distributed pixels selection method was integrated into the CPT-InSAR processing chain [35]. DS pixels were identified by classical statistical testing and their phases were also optimized by the joint use of the phase triangle algorithm (PTA) and Eigen decompositionbased maximum likelihood estimator of interferometric phase (EMI) [35]. ...
... To address the inherent limitation of sparse measurements in non-urban areas in the conventional coherent pixels technique InSAR (CPT-InSAR), an adaptive coherent distributed pixels selection method was integrated into the CPT-InSAR processing chain [35]. DS pixels were identified by classical statistical testing and their phases were also optimized by the joint use of the phase triangle algorithm (PTA) and Eigen decomposition-based maximum likelihood estimator of interferometric phase (EMI) [35]. ...
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