Kovalevskaya, NelleyMitrophanova, ElenaGnauck, AlbrechtHeinrich, Ralph2019-09-162019-09-162003https://dl.gi.de/handle/20.500.12116/27113Environmental maps show the probable environmental states of different types of land use or development of landscape in a geographic context. Remotely sensed data are particularly efficient for environmental mapping in order to outline major environmental types. Novel models of piecewise-homogeneous V images are used in environmental mapping to segment real images. The models consider both an image and a land cover map. Such a pair constitutes an example of a Markov random field specified by a joint Gibbs probability distribution of images and maps. Addition of spatial attributes v appears to be necessary in most areas where the differences in spatial data between regions in the image occur.Text/Conference Paper