Abstract | ||
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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. |
Year | DOI | Venue |
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2012 | 10.1109/IGARSS.2012.6352363 | Geoscience and Remote Sensing Symposium |
Keywords | Field | DocType |
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 | Computer science,Synthetic aperture radar,Remote sensing,Image segmentation,Gaussian process,Artificial intelligence,Wavelet,Wavelet transform,Computer vision,Radar imaging,Pattern recognition,Gaussian,Computational complexity theory | Conference |
ISSN | ISBN | Citations |
2153-6996 E-ISBN : 978-1-4673-1158-8 | 978-1-4673-1158-8 | 0 |
PageRank | References | Authors |
0.34 | 6 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Luciano Alparone | 1 | 901 | 80.27 |
Fabrizio Argenti | 2 | 174 | 26.24 |
Tiziano Bianchi | 3 | 1003 | 62.55 |
Lapini, A. | 4 | 0 | 0.34 |