A new parameter for IFPOL coherence optimization methods

The interferometric coherence optimization methods are based on the definition of projection vectors, which is the way to combine the information occurring from the polarimetric channels of both interferometric images. Optimization algorithms have already been proposed. In order to know in which cases these algorithms really improve the scalar interferometric result, a new entropy parameter H´ calculated with the eigenvalues found by the second optimization method and called IFPOL entropy is introduced. The physical significance of this entropy parameter is first explained. Particular cases where this parameter is equal to 1 are studied. Finally, we explain how this parameter H´ can be used in order to obtain more information on the scene and, for example, to improve terrain classification methods.