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...
- Autores:
- Tipo de recurso:
- http://purl.org/coar/resource_type/c_6647
- Fecha de publicación:
- 2007
- Institución:
- Universidad Pedagógica y Tecnológica de Colombia
- Repositorio:
- RiUPTC: Repositorio Institucional UPTC
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.uptc.edu.co:001/12130
- Acceso en línea:
- https://revistas.uptc.edu.co/index.php/ingenieria_sogamoso/article/view/853
https://repositorio.uptc.edu.co/handle/001/12130
- Palabra clave:
- precision agriculture
agrophysics
remote sensing
cellular automata
agricultura de precisión
agrofisica
teledetección
autómata celular
- Rights
- License
- Derechos de autor 2007 Ingeniería Investigación y Desarrollo
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2007-12-032024-07-05T18:47:34Z2024-07-05T18:47:34Zhttps://revistas.uptc.edu.co/index.php/ingenieria_sogamoso/article/view/853https://repositorio.uptc.edu.co/handle/001/12130To 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.application/pdfspaspaUniversidad Pedagógica y Tecnológica de Colombia - UPTChttps://revistas.uptc.edu.co/index.php/ingenieria_sogamoso/article/view/853/852Derechos de autor 2007 Ingeniería Investigación y Desarrollohttp://purl.org/coar/access_right/c_abf148http://purl.org/coar/access_right/c_abf2Ingeniería Investigación y Desarrollo; Vol. 5 No. 2: julio-diciembre de 2007; 2-6Ingeniería Investigación y Desarrollo; Vol. 5 Núm. 2: julio-diciembre de 2007; 2-62422-43241900-771Xprecision agricultureagrophysicsremote sensingcellular automataagricultura de precisiónagrofisicateledetecciónautómata celularCovers classification in multi spectral satellite images by means of cellular automata with precision agriculture conceptsClasificación de coberturas en imágenes satélitales multiespectrales mediante autómatas celulares con conceptos de agricultura de precisióninfo:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6647http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a231http://purl.org/coar/version/c_970fb48d4fbd8a85Jiménez-López, Andrés Fernando001/12130oai:repositorio.uptc.edu.co:001/121302025-07-18 11:25:46.3metadata.onlyhttps://repositorio.uptc.edu.coRepositorio Institucional UPTCrepositorio.uptc@uptc.edu.co |
| dc.title.en-US.fl_str_mv |
Covers classification in multi spectral satellite images by means of cellular automata with precision agriculture concepts |
| dc.title.es-ES.fl_str_mv |
Clasificación de coberturas en imágenes satélitales multiespectrales mediante autómatas celulares con conceptos de agricultura de precisión |
| title |
Covers classification in multi spectral satellite images by means of cellular automata with precision agriculture concepts |
| spellingShingle |
Covers classification in multi spectral satellite images by means of cellular automata with precision agriculture concepts precision agriculture agrophysics remote sensing cellular automata agricultura de precisión agrofisica teledetección autómata celular |
| title_short |
Covers classification in multi spectral satellite images by means of cellular automata with precision agriculture concepts |
| 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_sort |
Covers classification in multi spectral satellite images by means of cellular automata with precision agriculture concepts |
| dc.subject.en-US.fl_str_mv |
precision agriculture agrophysics remote sensing cellular automata |
| topic |
precision agriculture agrophysics remote sensing cellular automata agricultura de precisión agrofisica teledetección autómata celular |
| dc.subject.es-ES.fl_str_mv |
agricultura de precisión agrofisica teledetección autómata celular |
| 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. |
| publishDate |
2007 |
| dc.date.accessioned.none.fl_str_mv |
2024-07-05T18:47:34Z |
| dc.date.available.none.fl_str_mv |
2024-07-05T18:47:34Z |
| dc.date.none.fl_str_mv |
2007-12-03 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article |
| dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
| dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_6647 |
| dc.type.coarversion.spa.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a231 |
| format |
http://purl.org/coar/resource_type/c_6647 |
| dc.identifier.none.fl_str_mv |
https://revistas.uptc.edu.co/index.php/ingenieria_sogamoso/article/view/853 |
| dc.identifier.uri.none.fl_str_mv |
https://repositorio.uptc.edu.co/handle/001/12130 |
| url |
https://revistas.uptc.edu.co/index.php/ingenieria_sogamoso/article/view/853 https://repositorio.uptc.edu.co/handle/001/12130 |
| dc.language.none.fl_str_mv |
spa |
| dc.language.iso.none.fl_str_mv |
spa |
| language |
spa |
| dc.relation.none.fl_str_mv |
https://revistas.uptc.edu.co/index.php/ingenieria_sogamoso/article/view/853/852 |
| dc.rights.es-ES.fl_str_mv |
Derechos de autor 2007 Ingeniería Investigación y Desarrollo |
| dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
| dc.rights.coar.spa.fl_str_mv |
http://purl.org/coar/access_right/c_abf148 |
| rights_invalid_str_mv |
Derechos de autor 2007 Ingeniería Investigación y Desarrollo http://purl.org/coar/access_right/c_abf148 http://purl.org/coar/access_right/c_abf2 |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.publisher.es-ES.fl_str_mv |
Universidad Pedagógica y Tecnológica de Colombia - UPTC |
| dc.source.en-US.fl_str_mv |
Ingeniería Investigación y Desarrollo; Vol. 5 No. 2: julio-diciembre de 2007; 2-6 |
| dc.source.es-ES.fl_str_mv |
Ingeniería Investigación y Desarrollo; Vol. 5 Núm. 2: julio-diciembre de 2007; 2-6 |
| dc.source.none.fl_str_mv |
2422-4324 1900-771X |
| institution |
Universidad Pedagógica y Tecnológica de Colombia |
| repository.name.fl_str_mv |
Repositorio Institucional UPTC |
| repository.mail.fl_str_mv |
repositorio.uptc@uptc.edu.co |
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1839633843070435328 |