Search Results - "Zerubia, J"

Building Development Monitoring in Multitemporal Remotely Sensed Image Pairs with Stochastic Birth-Death Dynamics by Benedek, C., Descombes, X., Zerubia, J.

“…In this paper, we introduce a new probabilistic method which integrates building extraction with change detection in remotely sensed image pairs. A global…”
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Structural Approach for Building Reconstruction from a Single DSM by Lafarge, F., Descombes, X., Zerubia, J., Pierrot-Deseilligny, M.

“…We present a new approach for building reconstruction from a single Digital Surface Model (DSM). It treats buildings as an assemblage of simple urban…”
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GENERATIVE ADVERSARIAL NETWORKS AS A NOVEL APPROACH FOR TECTONIC FAULT AND FRACTURE EXTRACTION IN HIGH-RESOLUTION SATELLITE AND AIRBORNE OPTICAL IMAGES by Jafrasteh, B., Manighetti, I., Zerubia, J.

“…We develop a novel method based on Deep Convolutional Networks (DCN) to automate the identification and mapping of fracture and fault traces in optical images…”
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Point processes for unsupervised line network extraction in remote sensing by Lacoste, C., Descombes, X., Zerubia, J.

“…This paper addresses the problem of unsupervised extraction of line networks (for example, road or hydrographic networks) from remotely sensed images. We model…”
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SAR image filtering based on the heavy-tailed Rayleigh model by Achim, A., Kuruoglu, E.E., Zerubia, J.

“…Synthetic aperture radar (SAR) images are inherently affected by a signal dependent noise known as speckle, which is due to the radar wave coherence. In this…”
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SAR amplitude probability density function estimation based on a generalized Gaussian model by Moser, G., Zerubia, J., Serpico, S.B.

“…In the context of remotely sensed data analysis, an important problem is the development of accurate models for the statistics of the pixel intensities…”
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Modeling SAR images with a generalization of the Rayleigh distribution by Kuruoglu, E.E., Zerubia, J.

“…Synthetic aperture radar (SAR) imagery has found important applications due to its clear advantages over optical satellite imagery one of them being able to…”
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Hierarchical Multiple Markov Chain Model for Unsupervised Texture Segmentation by Scarpa, G., Gaetano, R., Haindl, M., Zerubia, J.

“…In this paper, we present a novel multiscale texture model and a related algorithm for the unsupervised segmentation of color images. Elementary textures are…”
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Texture feature analysis using a gauss-Markov model in hyperspectral image classification by Rellier, G., Descombes, X., Falzon, F., Zerubia, J.

“…Texture analysis has been widely investigated in the monospectral and multispectral imagery domains. At the same time, new image sensors with a large number of…”
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A CAUSAL HIERARCHICAL MARKOV FRAMEWORK FOR THE CLASSIFICATION OF MULTIRESOLUTION AND MULTISENSOR REMOTE SENSING IMAGES by Montaldo, A., Fronda, L., Hedhli, I., Moser, G., Serpico, S. B., Zerubia, J.

“…In this paper, a multiscale Markov framework is proposed in order to address the problem of the classification of multiresolution and multisensor remotely…”
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Dictionary-based stochastic expectation-maximization for SAR amplitude probability density function estimation by Moser, G., Zerubia, J., Serpico, S.B.

“…In remotely sensed data analysis, a crucial problem is represented by the need to develop accurate models for the statistics of the pixel intensities. This…”
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Causal Markov Mesh Hierarchical Modeling for the Contextual Classification of Multiresolution Satellite Images by Montaldo, A., Fronda, L., Hedhli, I., Moser, G., Serpico, S. B., Zerubia, J.

“…In this paper, we address the problem of the joint classification of multiple images acquired on the same scene at different spatial resolutions. From an…”
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Detection of Object Motion Regions in Aerial Image Pairs With a Multilayer Markovian Model by Benedek, C., Sziranyi, T., Kato, Z., Zerubia, J.

“…We propose a new Bayesian method for detecting the regions of object displacements in aerial image pairs. We use a robust but coarse 2D image registration…”
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A variational model for image classification and restoration by Samson, C., Blanc-Feraud, L., Aubert, G., Zerubia, J.

“…We present a variational model devoted to image classification coupled with an edge-preserving regularization process. The discrete nature of classification…”
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Extension of phase correlation to subpixel registration by Foroosh, H., Zerubia, J.B., Berthod, M.

“…In this paper, we have derived analytic expressions for the phase correlation of downsampled images. We have shown that for downsampled images the signal power…”
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An adaptive Gaussian model for satellite image deblurring by Jalobeanu, A., Blanc-Feraud, L., Zerubia, J.

“…The deconvolution of blurred and noisy satellite images is an ill-posed inverse problem, which can be regularized within a Bayesian context by using an a…”
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A higher-order active contour model of a ‘gas of circles’ and its application to tree crown extraction by Horváth, P., Jermyn, I.H., Kato, Z., Zerubia, J.

“…We present a model of a ‘gas of circles’: regions in the image domain composed of a unknown number of circles of approximately the same radius. The model has…”
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New prospects in line detection by dynamic programming by Merlet, N., Zerubia, J.

“…The detection of lines in satellite images has drawn a lot of attention within the last 15 years. Problems of resolution, noise, and image understanding are…”
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Generalized sampling: stability and performance analysis by Unser, M., Zerubia, J.

“…Generalized sampling provides a general mechanism for recovering an unknown input function f(x)/spl epsiv//spl Hscr/ from the samples of the responses of m…”
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Estimation of Markov random field prior parameters using Markov chain Monte Carlo maximum likelihood by Descombes, X., Morris, R.D., Zerubia, J., Berthod, M.

“…Developments in statistics now allow maximum likelihood estimators for the parameters of Markov random fields (MRFs) to be constructed. We detail the theory…”
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