2019-08-202019-08-202018-09Redolfi, J., Sánchez, J., & Flesia, A. G. Fisher vectors for PolSAR image classification. Congreso Argentino de AgroInformática. (2018)2525-0949http://hdl.handle.net/20.500.12272/3889In this letter, we study the application of the Fisher vector (FV) to the problem of pixelwise supervised classification of polarimetric synthetic aperture radar images. This is a challenging problem since information in those images is encoded as complex-valued covariance matrices. We observe that the real parts of these matrices preserve the positive semidefiniteness property of their complex counterpart. Based on this observation, we derive an FV from a mixture of real Wishart densities and integrate it with a Potts-like energy model in order to capture spatial dependencies between neighboring regions. Experimental results on two challenging data sets show the effectiveness of the approach.application/pdfenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Fisher vectorsimage classificationpolarimetric synthetic aperture radarinfo:eu-repo/semantics/conferenceObjectAtribución-NoComercial-CompartirIgual 4.0 Internacional