Optimised power changes detector for PolInSAR applications

The use of polarimetric and interferometric SAR (Pol-InSAR) has been demonstrated to bring significant advantages for several remote sensing applications. Sometimes, the hypothesis that the scattering mechanisms (SM) do not suffer large changes in the two acquisitions is performed (ESM). On the other hand, a different set of algorithms should be employed. In this paper a new methodology is proposed to identify errors consequence of possible changes. The algorithm performs a Lagrange optimization of an error factor of the Pol-InSAR coherences, returning also the SM that change maximally and minimally during the two acquisitions. The algorithm was tested on E-SAR L-band data acquired during the AgriSAR 2006 campaign.