Title
A whitening method for the despeckling of SAR images affected by correlated speckle noise
Abstract
In the last decade, several methods have been developed for the despeckling of Synthetically Aperture Radar (SAR) images. A considerable number of them have been derived on the assumption of the fully-developed speckle model in which the multiplicative speckle noise is supposed to be a white process. Unfortunately, the transfer function of SAR acquisition systems can introduce a statistical correlation which decreases the despeckling efficiency of such filters. In this work, a method for whitening a complex image acquired by a SAR system is proposed. By using the statistical properties of the acquired image the estimation of the SAR system frequency response is performed by means of some realistic assumptions; then a decorrelation process is applied on the acquired image, taking into account the presence of point targets. Finally, the image is despeckled. The experimental results show that the despeckling filters achieve better performance when they are preceded by the proposed whitening method; moreover, the radiometric characteristics of the image are preserved.
Year
Venue
Keywords
2012
Signal Processing Conference
filtering theory,image denoising,radar imaging,radiometry,statistical analysis,synthetic aperture radar,SAR acquisition systems,SAR images,correlated speckle noise,despeckling filters,fully-developed speckle model,image acquisition,radiometric characteristics,statistical properties,synthetically aperture radar images,whitening method,COSMO-SkyMed,Despeckling,SAR images,correlated speckle noise,whitening
Field
DocType
ISSN
Aperture,Radar,Computer vision,Radar imaging,Decorrelation,Speckle pattern,Computer science,Synthetic aperture radar,Inverse synthetic aperture radar,Artificial intelligence,Speckle noise
Conference
2219-5491
ISBN
Citations 
PageRank 
978-1-4673-1068-0
0
0.34
References 
Authors
10
4
Name
Order
Citations
PageRank
Alessandro Lapini1396.39
Tiziano Bianchi2100362.55
Fabrizio Argenti362.06
Luciano Alparone400.68