Régis C. P. Marques

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This paper proposes an image segmentation method for synthetic aperture radar (SAR), exploring statistical properties of SAR data to characterize image regions. We consider G⁰A distribution parameters for SAR image segmentation, combined to the level set framework. The G⁰A distribution belongs to a class of G distributions that have been successfully used(More)
A new edge preserving wavelet filtering is proposed and it is applied to real SAR images that are generally affected by a multiplicative noise, called speckle, which degrades the quality of these images. The new approach attempts to look for the neighborhood area in the detail images of a wavelet decomposition, that identifies homogeneous areas and edge(More)
This paper presents an algorithm for spots detection in Synthetic Aperture Radar (SAR) images that can be used to support environmental remote monitoring. Monitoring areas with high frequency of oil spillage by accidental or illegal oil discharges can prevent marine damage spreading. But the presence of speckle noise in SAR images limits the visual(More)
Identification of potential oil spills on Synthetic Aperture Radar (SAR) satellite images is a complex process. Oil companies, as well as the coast guard have tested a whole range of methods for monitoring and detection of possible oil spills. These methods are found to be expensive, complex and require high processing power and time. In this paper, an oil(More)