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...
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| Format: | Online |
| Language: | spa |
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Universidad Pedagógica y Tecnológica de Colombia - UPTC
2007
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| Online Access: | https://revistas.uptc.edu.co/index.php/ingenieria_sogamoso/article/view/853 |
| _version_ | 1801706673567432704 |
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| author | Jiménez-López, Andrés Fernando |
| author_facet | Jiménez-López, Andrés Fernando |
| author_sort | Jiménez-López, Andrés Fernando |
| collection | OJS |
| description | 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. |
| format | Online |
| id | oai:oai.revistas.uptc.edu.co:article-853 |
| institution | Revista Ingeniería, Investigación y Desarrollo |
| language | spa |
| publishDate | 2007 |
| publisher | Universidad Pedagógica y Tecnológica de Colombia - UPTC |
| record_format | ojs |
| spelling | oai:oai.revistas.uptc.edu.co:article-8532017-09-08T00:54:48Z Covers classification in multi spectral satellite images by means of cellular automata with precision agriculture concepts Clasificación de coberturas en imágenes satélitales multiespectrales mediante autómatas celulares con conceptos de agricultura de precisión Jiménez-López, Andrés Fernando precision agriculture agrophysics remote sensing cellular automata agricultura de precisión agrofisica teledetección autómata celular 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. Para realizar el proceso de clasificación y generación de mapas temáticos de coberturas en imágenes satelitales multiespectrales e hiperespectrales se emplean diversos procedimientos, entre los cuales se encuentran el análisis de espectros, la clasificación angular, la reducción de la dimensionalidad de la imagen y el análisis lineal de mezclas espectrales, entre otros. En el presente trabajo se emplea una imagen Satelital Landsat 7 para realizar la clasificación de coberturas mediante autómatas celulares, empleando cada pixel de la imagen como si fuera un elemento de la rejilla que constituye al autómata celular y se comparan los resultados con los obtenidos mediante el uso del Software ERDAS. Universidad Pedagógica y Tecnológica de Colombia - UPTC 2007-12-03 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://revistas.uptc.edu.co/index.php/ingenieria_sogamoso/article/view/853 Ingeniería Investigación y Desarrollo; Vol. 5 No. 2: julio-diciembre de 2007; 2-6 Ingeniería Investigación y Desarrollo; Vol. 5 Núm. 2: julio-diciembre de 2007; 2-6 2422-4324 1900-771X spa https://revistas.uptc.edu.co/index.php/ingenieria_sogamoso/article/view/853/852 Derechos de autor 2007 Ingeniería Investigación y Desarrollo |
| spellingShingle | precision agriculture agrophysics remote sensing cellular automata agricultura de precisión agrofisica teledetección autómata celular Jiménez-López, Andrés Fernando Covers classification in multi spectral satellite images by means of cellular automata with precision agriculture concepts |
| title | Covers classification in multi spectral satellite images by means of cellular automata with precision agriculture concepts |
| title_alt | Clasificación de coberturas en imágenes satélitales multiespectrales mediante autómatas celulares con conceptos de agricultura de precisión |
| title_full | Covers classification in multi spectral satellite images by means of cellular automata with precision agriculture concepts |
| title_fullStr | Covers classification in multi spectral satellite images by means of cellular automata with precision agriculture concepts |
| title_full_unstemmed | Covers classification in multi spectral satellite images by means of cellular automata with precision agriculture concepts |
| title_short | Covers classification in multi spectral satellite images by means of cellular automata with precision agriculture concepts |
| title_sort | covers classification in multi spectral satellite images by means of cellular automata with precision agriculture concepts |
| topic | precision agriculture agrophysics remote sensing cellular automata agricultura de precisión agrofisica teledetección autómata celular |
| topic_facet | precision agriculture agrophysics remote sensing cellular automata agricultura de precisión agrofisica teledetección autómata celular |
| url | https://revistas.uptc.edu.co/index.php/ingenieria_sogamoso/article/view/853 |
| work_keys_str_mv | AT jimenezlopezandresfernando coversclassificationinmultispectralsatelliteimagesbymeansofcellularautomatawithprecisionagricultureconcepts AT jimenezlopezandresfernando clasificaciondecoberturasenimagenessatelitalesmultiespectralesmedianteautomatascelularesconconceptosdeagriculturadeprecision |
