A model for detecting phasimetric SAR effects coming from rainy events

Important SAR phasimetric effects can be observed on the evolution of vegetation subjected to rainy periods. We present a segmentation model to detect these artefacts. It is based on a statistical model, expressed in a Markovian random field framework. The novelty of the approach resides in the use of both interferometric phase and coherence.

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