Markov Random Fields (MRF) are a powerful and wide adopted tool in image processing. MRFS together with Bayesian Estimation Theory can be used for detecting edges of man made structures in Synthetic Aperture Radar images. In this paper we present a method developed in the Markovian-Bayesian framework which is particularly suited to work in case of high coherence SAR interferometric images pairs, such as TanDEM-X Mission data. A real case study, consisting of a pair of complex TerraSAR-X images, is presented, showing the performances of the algorith
International audienceIn this paper we develop a novel classification approach for high and very hig...
Afin d’obtenir une meilleure couverture, à la fois spatiale et temporelle de leurs mesures les hydro...
A coupled stochastic image model for restoration of Synthetic Aperture Radar (SAR) images affected b...
AbstractSynthetic aperture radar (SAR) image is severely affected by multiplicative speckle noise, w...
In this work, a novel building edge detector which jointly exploits the full complex SAR image is pr...
In this paper, the problem of building edge detection in synthetic aperture radar images is addresse...
Due to the speckle effect of coherent imaging the detection of lines in Synthetic Aperture Radar (SA...
Building edge detection exploting Synthetic Aperture Radar (SAR) multi-channel data is a research to...
International audienceThis paper introduces a Bayesian non parametric (BNP) model associated with a ...
International audienceThis paper introduces a Bayesian non parametric (BNP) model associated with a ...
ABSTRACT This paper introduces a Bayesian non parametric (BNP) model associated with a Markov random...
AbstractSynthetic aperture radar (SAR) image is severely affected by multiplicative speckle noise, w...
In this manuscript a novel approach for SAR urban change detection is presented. Its peculiarity is ...
This paper introduces a Bayesian non parametric (BNP) model associated with a Markov random field (M...
Due to the speckle effect of coherent imaging the detection of lines in SAR scenes is considerably m...
International audienceIn this paper we develop a novel classification approach for high and very hig...
Afin d’obtenir une meilleure couverture, à la fois spatiale et temporelle de leurs mesures les hydro...
A coupled stochastic image model for restoration of Synthetic Aperture Radar (SAR) images affected b...
AbstractSynthetic aperture radar (SAR) image is severely affected by multiplicative speckle noise, w...
In this work, a novel building edge detector which jointly exploits the full complex SAR image is pr...
In this paper, the problem of building edge detection in synthetic aperture radar images is addresse...
Due to the speckle effect of coherent imaging the detection of lines in Synthetic Aperture Radar (SA...
Building edge detection exploting Synthetic Aperture Radar (SAR) multi-channel data is a research to...
International audienceThis paper introduces a Bayesian non parametric (BNP) model associated with a ...
International audienceThis paper introduces a Bayesian non parametric (BNP) model associated with a ...
ABSTRACT This paper introduces a Bayesian non parametric (BNP) model associated with a Markov random...
AbstractSynthetic aperture radar (SAR) image is severely affected by multiplicative speckle noise, w...
In this manuscript a novel approach for SAR urban change detection is presented. Its peculiarity is ...
This paper introduces a Bayesian non parametric (BNP) model associated with a Markov random field (M...
Due to the speckle effect of coherent imaging the detection of lines in SAR scenes is considerably m...
International audienceIn this paper we develop a novel classification approach for high and very hig...
Afin d’obtenir une meilleure couverture, à la fois spatiale et temporelle de leurs mesures les hydro...
A coupled stochastic image model for restoration of Synthetic Aperture Radar (SAR) images affected b...