Abstract:
In this study, the effects of speckle filtering in polarimetric Synthetic Aperture Radar (SAR) imagery is investigated for shoreline extraction purposes. In particular, n...Show MoreMetadata
Abstract:
In this study, the effects of speckle filtering in polarimetric Synthetic Aperture Radar (SAR) imagery is investigated for shoreline extraction purposes. In particular, non-local (NL) means filters paradigm is applied to polarimetric SAR measurements in order to derive exact shoreline positions in complex scenarios as sandy beaches. As a showcase, shoreline extraction is undertaken, according to the polarimetric algorithm proposed in [1], from a C-band Radarsat-2 SAR scene covering the historical site of Monasterace (Calabria region, Italy). A preliminary analysis on how to set-up the parameters of the non-local means filter used to reduce speckle noise is undertaken. In addition, in order to evaluate the performance of the non-local means filters to be exploited for polarimetric SAR-based shoreline extraction purposes, a fair comparison with reference polarimetric speckle filters widely used in literature, i. e., the boxcar and the refined Lee filter, is made in terms of accuracy by means of reference Global Positioning System samples considered as ground truth. The NL means speckle filters was shown to outperform the others in terms of accuracy and stability.
Published in: 2019 IEEE 5th International forum on Research and Technology for Society and Industry (RTSI)
Date of Conference: 09-12 September 2019
Date Added to IEEE Xplore: 11 November 2019
ISBN Information: