A Hybrid Method for Stability Monitoring in Low-Coherence Urban Regions Using Persistent and Distributed Scatterers

To perform better monitoring of infrastructure stability in urban and suburban regions, we propose an improved method based on the combined analysis of persistent scatterer (PS) and distributed scatterer (DS). Previous work [13] is extended to explore the DS measurements by exploiting an adaptive homogeneous filter and the capon-based estimator. In this paper, PSs are detected as reference points in the first-tier network. Parameters along network arcs are estimated through the integrated use of beam-forming and an M-estimator. In the second-tier network, we design an adaptive homogeneous filter to cluster statistically homogeneous pixels. DS candidates are then connected to their nearest PS references, establishing the DS network. We estimate DS parameters by using capon beamforming. As the proposed method can provide more complete deformation details of low-coherence targets, it is more effective in stability monitoring. Results from 28 C-band ENVISAT-ASAR scenes of the Hong Kong International Airport are presented in this paper.

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