Title :
Multiresolution map despeckling of COSMO-SkyMed images
Author :
Alparone, Luciano ; Argenti, Fabrizio ; Bianchi, Tiziano ; Lapini, A. ; Aiazzi, Bruno ; Baronti, Stefano ; D´Elia, C. ; Ruscino, Simona
Abstract :
This paper describes the most recent achievements in speckle reduction of COSMO-SkyMed (CSK@) synthetic aperture radar (SAR) data. An advanced multiresolution despeckling filter, based on undecimated wavelet transform (UDWT) and maximum a-posteriori (MAP) estimation has been specialized and optimized to CSKê data, both single- and multi-look. The tradeoff between performances and computational complexity has been investigated: Laplacian-Gaussian and generalized Gaussian (GG) priors for MAP estimation in UDWT domain differ by one order of magnitude in computation cost. Pre-processing of point targets and segmentation of wavelet planes has been exploited to effectively handle the heterogeneity of the data. Besides traditional supervised methods to evaluate the quality of despeckling, a novel procedure, fully automated, based on bivariate analysis of noisy and denoised image has been devised.
Keywords :
Gaussian processes; artificial satellites; geophysical image processing; image denoising; image resolution; image segmentation; maximum likelihood estimation; radar imaging; synthetic aperture radar; wavelet transforms; Cosmo-skyMed image; Laplacian-Gaussian; MAP estimation; UDWT; bivariate analysis; generalized Gaussian; image denoising; maximum a posteriori estimation; multresolution despeckling filter; noisy image; point target preprocessing; speckle reduction; supervised method; synthetic aperture radar; undecimated wavelet transform; wavelet plane segmentation; Image segmentation; Mathematical model; Noise; Remote sensing; Speckle; Synthetic aperture radar; Wavelet domain;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6352363
