Daniel C. Zanotta

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In this paper we present a novel domain adaptation technique aimed at providing reliable change detection maps for series of image pairs acquired on the same area at different times. The proposed technique exploits the polar change vector analysis method and assumes that reference data for characterizing a specific change of interest are available only for(More)
This paper presents an inverse model for SAR backscatter X band designed to snow and ice surfaces. The model inversion enables estimating the morphological characteristics of snow cover from SAR data. X Cosmo-Skymed sensor data was used in the experiment tested here for the region of Union Glacier Antarctica. We observed a precision in determining the(More)