Abstract
The existing exhaustive search polarimetric optimization (ESPO) method exploiting polarimetric diversity has been widely used to improve the phase quality in polarimetric interferometric synthetic aperture radar (PolInSAR). However, the optimization ceiling of the ESPO method based on the coherence metric is largely restricted by the variation of scattering mechanisms in the spatial domain, especially for high-resolution SAR data. To this end, this letter proposes an improved ESPO (ImESPO) method that considers the changes of the scattering mechanisms in local windows and applies it to the time-series phase optimization framework. Both simulated and real experiments demonstrated the effectiveness of the proposed method, which shows that the changes of the scattering mechanisms are more serious in the large window or for high-resolution SAR data. In addition, the effects of the filtering window size and the number of interferograms on optimization were also analyzed in detail.
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