International audienceThis work deals with unsupervised change detection in bi-date Synthetic Aperture Radar (SAR) images. Whatever the indicator of change used to compute the criterion image, e.g. log-ratio or Kullback-Leibler divergence between images, we have observed poor quality change maps for some events when using the Hidden Markov Chain (HMC) model we focus on in this work. The main reason comes from the stationary assumption involved in this model -and in most Markovian models such as Hidden Markov Random Fields-, which can not be justified in most observed scenes: changed areas are not necessarily stationary in the image. Besides the non-stationary Markov models proposed in the literature, the aim of this paper is to describe a p...
A nonparametric method for unsupervised change detection in multipass synthetic aperture radar (SAR)...
International audienceThis paper addresses the problem of activity monitoring through change detecti...
International audienceThis paper explores the problem of change detection in time series of heteroge...
Abstract — This work deals with unsupervised change detection in temporal sets of Synthetic Aperture...
HMC on a sliding window Change detection on simulated SAR images Change detection on real SAR images...
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...
ABSTRACT This paper introduces a Bayesian non parametric (BNP) model associated with a Markov random...
This paper addresses the problem of Bayesian off-line change-point detection in synthetic aperture r...
International audienceThis paper considers change detection with multitemporal synthetic aperture ra...
In the contexts of environmental monitoring and disaster management, multichannel synthetic aperture...
In the framework of synthetic aperture radar (SAR) systems, current satellite missions make it possi...
In the framework of synthetic aperture radar (SAR) systems, current satellite missions make it possi...
The aim of this paper is to present a general framework for change detection in a time series of rad...
International audienceIn this paper, we present a new similarity measure for automatic change detect...
A nonparametric method for unsupervised change detection in multipass synthetic aperture radar (SAR)...
International audienceThis paper addresses the problem of activity monitoring through change detecti...
International audienceThis paper explores the problem of change detection in time series of heteroge...
Abstract — This work deals with unsupervised change detection in temporal sets of Synthetic Aperture...
HMC on a sliding window Change detection on simulated SAR images Change detection on real SAR images...
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...
ABSTRACT This paper introduces a Bayesian non parametric (BNP) model associated with a Markov random...
This paper addresses the problem of Bayesian off-line change-point detection in synthetic aperture r...
International audienceThis paper considers change detection with multitemporal synthetic aperture ra...
In the contexts of environmental monitoring and disaster management, multichannel synthetic aperture...
In the framework of synthetic aperture radar (SAR) systems, current satellite missions make it possi...
In the framework of synthetic aperture radar (SAR) systems, current satellite missions make it possi...
The aim of this paper is to present a general framework for change detection in a time series of rad...
International audienceIn this paper, we present a new similarity measure for automatic change detect...
A nonparametric method for unsupervised change detection in multipass synthetic aperture radar (SAR)...
International audienceThis paper addresses the problem of activity monitoring through change detecti...
International audienceThis paper explores the problem of change detection in time series of heteroge...