Covers classification in multi spectral satellite images by means of cellular automata with precision agriculture concepts
Abstract
To carry out the classification process and the generation of thematic maps of earthly cover in multispectral and hyperspectral satellital images different procedures are utilized such as: the spectral analysis, the angular classification, the image dimension reduction and the spectral mixtures linear analysis. In this paper a LandSat 7 Satellital image is employed for realizing the covers classification by means of cellular automata, using each image pixel as a grid element which composes the cellular automata and the results are compared with the obtained ones using the ERDAS Software.Keywords
precision agriculture, agrophysics, remote sensing, cellular automata
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