Super-Resolution Persistent Scatterer Interferometry (SR-PSI) – PS densification through Capon based SAR reprocessing

Conference Paper (2021)
Author(s)

Hao Zhang (Nanjing University of Posts and Telecommunications)

P. Lopez Dekker (TU Delft - Mathematical Geodesy and Positioning)

Research Group
Mathematical Geodesy and Positioning
More Info
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Publication Year
2021
Language
English
Research Group
Mathematical Geodesy and Positioning
Pages (from-to)
814-818
ISBN (electronic)
9783800754571

Abstract

The Capon algorithm can be applied to reprocess SAR images, resulting in super-resolution super-resolution reconstructed scenes with lower sidelobe levels. Base on this idea, we have proposed a processing chain of Super-Resolution Persistent Scatterer Interferometry (SR-PSI), to increase PS density. In this paper, we review the main aspect of SR-PSI. In addition, we propose a revised robust Capon algorithm, which mitigates the edge effect introduced by the Digonal Loading approach. Then we applied revised-robust-Capon based SR-PSI to a stack of Sentinel-1 data. The results show that the SR-PSI is more effective with respect to the traditional PSI.

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