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Research ~ Demonstrations Tuesday, November 21st 2017, 20:04

Demos about "Building / Urban areas"

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Welcome to the Ariana demos page. You can find here some demos which present our work. Demos from 1997 and before have been developed in the Pastis research group (1983-1997) from which Ariana is issued.

Demos are sorted chronologically, but you can fill this form to make an advanced search, or directly click on a name or on a keyword to find the associated demos.



Icon Title Languages
icone demoParameter estimation for marked point processes (2010) fr en
Authors : Saima Ben Hadj, Xavier Descombes, Josiane Zerubia
Keywords : Object extraction, MCMC, Parameter Estimation, Trees / Forest, Building / Urban areas, Greater Flamingos
icone demoHierarchical Multiple Markov Chain Model for Unsupervised Texture Segmentation (2009) en
Authors : Raffaele Gaetano, Giuseppe Scarpa, Josiane Zerubia
Keywords : Texture, Multiscale Modeling, Building / Urban areas, Image decomposition, Classification, Segmentation
icone demo Stochastic approaches for 3D building reconstruction (2008) fr en
Authors : Florent Lafarge, Xavier Descombes, Josiane Zerubia
Keywords : Object extraction, MCMC, Building / Urban areas, 3D Reconstruction
icone demoBuilding Extraction From Digital Elevation Models Using Marked Point Processes (2004) en
Authors : Mathias Ortner, Xavier Descombes, Josiane Zerubia
Keywords : Object extraction, Stochastic Geometry, MCMC, Building / Urban areas, 3D Reconstruction
icone demoMarkovian modeling for hyperspectral textures analysis (2002) fr
Authors : Josiane Zerubia, Xavier Descombes, Guillaume Rellier
Keywords : Texture, Markov Random Fields, Parameter Estimation, Building / Urban areas, Classification, Gaussian Random Fields
icone demoExtraction of urban areas (simulated SPOT5 images) (1998) fr en
Authors : Xavier Descombes, Josiane Zerubia, Anne Lorette
Keywords : Texture, Markov Random Fields, Building / Urban areas, Classification
icone demoComplementarity of SPOT and RADAR datas in cartography (1997) fr

Keywords : Object extraction, Line networks, Building / Urban areas
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