Danielle Ducrot

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Patches and their boundaries are sensitive to the scale at which they are viewed. The response of species to patchiness may depend on the resolution and on the extent by which the spatial pattern is perceived. The goal of this paper is to identify the scale at which forest spatial pattern causes changes in species richness and abundances of Dipteran and(More)
The classification of remote sensing images has done great forward taking into account the image’s availability with different resolutions, as well as an abundance of very efficient classification algorithms. A number of works have shown promising results by the fusion of spatial and spectral information using Support Vector Machines (SVM) which are a group(More)
In this paper we present a Markovian method of classification of the satellite images, this method is based on a minimization of the posterior energy by the ICM method (iterated conditionnal mode) with the introduction of constraints of the spatial context. The originality of our method is the variability over the iterations of a temperature factor like in(More)
The classification of remotely sensed images knows a large progress taking in consideration the availability of images with different resolutions as well as the abundance of classification’s algorithms. A number of works have shown promising results by the fusion of spatial and spectral information using Support vector machines (SVM). For this purpose, we(More)
The classification of remotely sensed images knows a large progress taking in consideration the availability of images with different resolutions as well as the abundance of classification’s algorithms. A number of works have shown promising results by the fusion of spatial and spectral information using Support vector machines (SVM) which are a group of(More)
This paper aims at monitoring agricultural areas using time series of satellite images, in order to obtain as early as possible in the year a classification of cultivated areas, as well as a characterisation of the different phenological behaviors for cultivated and natural land covers. For that purpose a learning phase has been performed, to provide a(More)
The challenge of recreating a green belt (hedgerow, forest, green corridors ...) is to restore biodiversity that the ecological continuity required. A coherent ecological network allows species to move, interact, and continue to support human being. The main objective of this paper is to explore the potential of image processing methods to map hedgerows,(More)
Segmentation plays a key role in many image processing applications, including SAR image analysis. Given a high-quality segmentation, important tasks such as adaptive noise filtering and classification can be greatly simplified. However, the presence of a strong, multiplicative noise known as speckle makes segmentation of SAR images very difficult. A new,(More)
It is an undeniable fact that decision-aid tools now provide the means for making environmental appraisals. But sometimes their imprecision jeopardises their credibility. The authors used the indicator method to evaluate the Vulnerability of Surface Water to Phytosanitary Products (VESPP in French). This method of comparison was refined by applying fuzzy(More)