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A single Synthetic Aperture Radar (SAR) image is a 2-Dimensional projection of a 3-Dimensional scene, with very limited ability to estimate surface topography. However, with multiple SAR images collected from suitably different geometries, they may be compared with multilateration calculations to estimate characteristics of the missing dimension. The ability to employ effective multilateration algorithms is highly dependent on the geometry of the data collections, and can be cast as a least-squares exercise. A measure of Dilution of Precision (DOP) can be used to compare the relative merits of various collection geometries.
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A. W. Doerry, D. L. Bickel, "Geolocation using synthetic aperture radar multilateration," Proc. SPIE 13048, Radar Sensor Technology XXVIII, 1304811 (7 June 2024); https://doi.org/10.1117/12.3013019