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 the additive noise component could also be exploited for the image structure extraction. Filtering results on both simulated and real PolSAR images are shown.
CitationFoucher, S.; Farage, G.; López, C. Exploitation of the additive component of the polarimetric noise model for speckle filtering. A: IEEE International Geoscience and Remote Sensing Symposium. "2010 IEEE International Geoscience and Remote Sensing Symposium". Honolulu: 2010, p. 312-315.
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder. If you wish to make any use of the work not provided for in the law, please contact: email@example.com