(a-c) are the original phases of interference pairs 20191007-20191019, 20190913-20191019 and 20190209-20190317, respectively. (d−f) Phases 20191007-20191019, 20190913-20191019 and 20190209-20190317 after ACDP-InSAR processing.

(a-c) are the original phases of interference pairs 20191007-20191019, 20190913-20191019 and 20190209-20190317, respectively. (d−f) Phases 20191007-20191019, 20190913-20191019 and 20190209-20190317 after ACDP-InSAR processing.

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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...

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... N differential interferograms are the optimized phase after spatial filtering and temporal filtering. We selected three interference phases before and after filtering for comparison, as shown in Figure 6. It can be observed that the quality of the interference phase obtained by the proposed method has been greatly improved, which proves the effectiveness of the algorithm. ...

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... 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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