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The interferometric coherence optimization methods are based on the definition of projection vectors, which is the way to combine the information occuring from the polarimetric channels of both interferometric images. An important point is the physical interpretation of the projection vectors in terms of scattering characteristics. An optimization algorithm(More)
Usual SAR imaging process makes the assumption that the reflectors are isotropic and white (i.e., they behave in the same way regardless the angle from which they are viewed and the emitted frequency within the bandwidth). The multidimensional continuous wavelet transform (CWT) in radar imaging was initially developed to highlight the image degradations due(More)
Usual imaging process makes the assumption that the reflectors are isotropic (i.e they behave the same way regardless of the angle from which they are viewed) and white (they have the same properties within the emitted frequency bandwidth). New imaging capacities make these assumptions obsolete and some degradation of the image quality occurs when(More)
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