Name
Abstract | ||
|---|---|---|
In the past few decades, several methods have been developed for despeckling synthetic aperture radar (SAR) images. A considerable number of them have been derived under the assumption of a 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 paper, a whitening method is proposed for processing a complex image acquired by a SAR system. We demonstrate that the proposed approach allows the successful application of classical despeckling algorithms. First, we perform an estimation of the SAR system frequency response based on some statistical properties of the acquired image and by using 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; furthermore, the radiometric characteristics of the image are preserved. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/TGRS.2013.2246838 | Geoscience and Remote Sensing, IEEE Transactions |
Keywords | Field | DocType |
decorrelation,frequency estimation,image denoising,noise abatement,radar imaging,radiometry,speckle,statistical analysis,synthetic aperture radar,white noise,SAR acquisition system,SAR image despeckling,blind speckle decorrelation,filter,frequency response estimation,image acquisition,image preservation,multiplicative speckle noise suppression,radiometric characteristics,statistical correlation property,synthetic aperture radar,transfer function,white noise process,Blind decorrelation,correlated speckle noise,despeckling,synthetic aperture radar (SAR) | Computer vision,Frequency response,Decorrelation,Speckle pattern,Synthetic aperture radar,Remote sensing,Inverse synthetic aperture radar,Transfer function,Artificial intelligence,Statistical correlation,Speckle noise,Mathematics | Journal |
Volume | Issue | ISSN |
52 | 2 | 0196-2892 |
Citations | PageRank | References |
4 | 0.41 | 19 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alessandro Lapini | 1 | 39 | 6.39 |
| Tiziano Bianchi | 2 | 1003 | 62.55 |
| Fabrizio Argenti | 3 | 174 | 26.24 |
| Luciano Alparone | 4 | 901 | 80.27 |