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Hindi Research Article, Geoinfor Geostat An Overview S Vol: 0 Issue: 0
Characterization of the Texture of Digital Images by Variography Approach: An Application to the Classification of SAR Images
| Janvier Fotsing1*, Emmanuel Tonye1, Bernard Essimbi Zobo2, Mahaman Bachir Saley3, Fernand Koffi Kouame3 and Jean-Paul Rudant4 | |
| 1Laboratory of Electronics and Signal Processing, Department Electrical Engineering and Telecommunications, National Advanced School of Engineering, University of Yaound eI, Cameroon | |
| 2Electronics Laboratory, Department of Physics, Faculty of Sciences, University of Yaound eI, Cameroon | |
| 3Centre universitaire de recherche et d’application en teledetection (CURAT),Laboratoire associé efrancophone (LAF n° 401), UFR des Sciences de la Terre et des Ressources Minières, Université ede Cocody, Côte d’Ivoire | |
| 4Laboratoire des Geomateriaux, Institut Francilien des Geosciences, 5Boulevard Descartes, Champs-Sur-Marne, Université ede Marne-La-Vallee,France | |
| Corresponding author : Janvier Fotsing Laboratory of Electronics and Signal Processing, Department Electrical Engineering and Telecommunications, National Advanced School of Engineering, University of Yaounde I, Cameroon Email: jfotsing@gmail.com |
|
| Received: February 22, 2013 Accepted: May 15, 2013 Published: May 24, 2013 | |
| Citation: Fotsing J, Tonye E, Zobo BE, Saley MB, Kouame FK, et al. (2013) Characterization of the Texture of Digital Images by Variography Approach: An Application to the Classification of SAR Images. Geoinfor Geostat: An Overview S1. doi:10.4172/2327-4581.S1-006 |
Abstract
Characterization of the Texture of Digital Images by Variography Approach: An Application to the Classification of SAR Images
This paper presents a method of texture modelling using geostatistic theory. From variographics abacus and variogram proprieties, fractal and exponential models have been used to characterize Brodatz textures. In this approach, a texture is modelled by a vector called feature vector whose components are parameters characterizing the experimental variogram, notably the “Slope”, the “Range”, the “Landing” and the “Fractal Dimension (FD)”.
