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Exploitation of the additive component of the polarimetric noise model for speckle filtering
2010
2010 IEEE International Geoscience and Remote Sensing Symposium
Ratio filters for speckle noise reduction in SAR imagery are recursive filters where the image structure is iteratively recovered from an initial oversmoothed image. We show that the MBPolSAR filter could be interepreted as a ratio filter applied to the off-diagonal terms of the covariance/coherency matix. From this observation, we propose a new polarimetric ratio filter allowing us to recover the image structure from all the terms of the covariance matrix. In addition, we briefly look at how
doi:10.1109/igarss.2010.5648901
dblp:conf/igarss/FoucherFL10
fatcat:h7f4ukqm2zhuzip7i254pahphu