2022 Volume 64 Issue 1 Pages 101-114
Although the regional land surface displacement data observed by Interferometric Synthetic Aperture Radar is expected to contribute to the effective calibration of land subsidence models, the land subsidence models cannot always reproduce the observed data or the inversion analysis possibly estimate a wrong parameter set because the observed data often contains the displacement components caused by unknown processes such as tectonic movement which are not considered in the land subsidence model. This study proposes the minimization of the entropy in terms of the total rotational energy of the residual between the calculated displacement and the observed displacement instead of minimizing the residual itself in the inversion analysis. A preliminary numerical experiment has shown that the proposed method successfully separates the regional displacement components caused by unknown processes and finds the optimal parameter set for the land subsidence model.
