Subproject 3 (SP3)
Information fusion: from displacement measurements to geophysical knowledge
Person in charge: Virginie Pinel, LGIT-UdS
The third subproject of this proposal consists in developing data fusion methods to combine different information sources in order to refine displacement measurements and to estimate geophysical parameters. As described in the first and second subprojects, the characterization of the backscattering mechanisms yield to several features, and different methods can extract displacement estimates from SAR images with a strong variability in resolution and precision. Depending on the application and on the available data, the former can be used to assess reliability in the SAR-based measurements and the latter require the development of a fusion strategy to reduce uncertainty and to enlarge the temporal or spatial coverage of the observed phenomena. Moreover, different sources of information can also be introduced at this level to improve the measurements by providing additional or a priori information regarding either the displacement itself or the different perturbation sources. In this subproject, we focus on two important issues where a fusion approach should bring significant improvements, in the two following work-packages:
- Work Package 6: Atmospheric perturbation detection
- Work Package 7: Fusion of displacement measurements in the context of geophysical model parameter estimation