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Adaptive Multilooking for Long Term Monitoring of Critical Infrastructure

Abstract

Efficient long term monitoring of critical infrastructure is a difficult task, due to the presence of decorrelation artifacts, especially in non-urban areas. This tends to be an important drawback, given the errors that appear during the unwrapping phase, leading to unreliable deformation maps. The minimization of the artifacts’ influence is performed by enhancing the phase estimate using a spatially adaptive multi-looking algorithm. Subsequently, a deformation estimation of linear motions is performed using a stacking-based approach. Results are presented on a database of 32 SLC SM TerraSAR-X images acquired over the area of Bucharest, Romania

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