Covers classification in multi spectral satellite images by means of cellular automata with precision agriculture concepts
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 line...
| 第一著者: | |
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| フォーマット: | Online |
| 言語: | spa |
| 出版事項: |
Universidad Pedagógica y Tecnológica de Colombia - UPTC
2007
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| オンライン･アクセス: | https://revistas.uptc.edu.co/index.php/ingenieria_sogamoso/article/view/853 |
| 要約: | 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. |
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