Research on InSAR Fusion Method for Scattering Characteristic Regions of Complex and Variable Objects
[Purposes]Both PS InSAR and SBAS InSAR have computational limitations when dealing with complex and variable terrain scattering characteristics in subsidence areas,so it is necessary to carry out research on fusion methods by comparing the technical differences and applicability of the two.[Methods]According to the statistical characteristics of the coherence coefficient of the distribution of PS points in different scattering feature areas,find the PS point data cluster that is Strongly correlated material to the strong scattering feature area.Then,according to the density difference of the distribution of PS points in different scattering feature areas,this paper uses the spatial clustering algorithm to iden-tify the data cluster covering urban land.This paper uses the Triangle mesh method to determine the boundary of monitoring data fusion against the national land use status data,and eliminates the low den-sity low quality PS point data cluster,and use SBAS InSAR to calculate SDFP point data outside the boundary and obtain the final result.[Findings]After data fusion,there is a significant increase in high-quality monitoring point data in weak terrain scattering areas,while high-quality and high-density PS points in strong terrain scattering areas are retained.This part of the PS points has higher accuracy in cal-culating their positions,and small-scale fine monitoring can be achieved in built-up areas.Ultimately,matching interferometric measurement data can be automatically selected based on the variable scatter-ing features in the area.[Conclusions]This InSAR fusion method can balance the quantity and quality of monitoring points when dealing with complex and variable terrain scattering feature areas.
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