【摘 要】
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In the application of persistent scatterer interfero-metry (PSI), deformation information is extracted from persistent scatterer (PS) points. Thus, the density and position of PS points are critical for PSI. To increase the PS density, a time-series In-SA
【机 构】
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School of Geographic and Biologic Information,Nanjing University of Posts and Telecommunications,Nan
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In the application of persistent scatterer interfero-metry (PSI), deformation information is extracted from persistent scatterer (PS) points. Thus, the density and position of PS points are critical for PSI. To increase the PS density, a time-series In-SAR chain termed as “super-resolution persistent scatterer inter-ferometry” (SR-PSI) is proposed. In this study, we investigate certain important properties of SR-PSI. First, we review the main workflow and dataflow of SR-PSI. It is shown that in the imple-mentation of the Capon algorithm, the diagonal loading (DL) ap-proach should be only used when the condition number of the covariance matrix is sufficiently high to reduce the discontinui-ties between the joint images. We then discuss the density and positioning accuracy of PS when compared with traditional PSI. The theory and experimental results indicate that SR-PSI can in-crease the PS density in urban areas. However, it is ineffective for the rural areas, which should be an important consideration for the engineering application of SR-PSI. Furthermore, we vali-date that the positioning accuracy of PS can be improved by SR-PSI via simulations.
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