Janvier Fotsing

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Classical and modern statistical methods offer a wide variety of approaches to the classification of data in general and classification of imagery in particular. None of these approaches explicitly use spatial information. Spatial covariance structures have been used for data prediction, but not directly for classification. This paper describes a(More)
The main objective of this paper is to develop a new technique of SAR image classification. This technique combines structural parameters, including the Sill, the slope, the fractal dimension and the range, with statistical methods in a supervised image classification. Thanks to the range parameter, we define the suitable size of the image window used in(More)
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