Técnicas y usos en la clasificación automática de imágenes

La producción y generación de información visual mediante teléfonos móviles y cámaras es ingente. También y principalmente a través de la teledetección, mediante la obtención de imágenes de la superficie terrestre por medio de aviones, naves espaciales y satélites que captan y sirven datos sobre meteorología, oceanografía, geología, geografía, geolocalización, seguridad, etc. Estos instrumentos de captura de imágenes generan cada día información visual imposible de procesar manualmente, de ahí que se recurra a diversas técnicas y métodos para la extracción automática de conocimientos útiles. Esta revisión bibliográfica, pretende conocer las técnicas y usos de la clasificación automática de imágenes. Para ello, se emplearon las Bases de datos Scopus y WoS para localizar documentos sobre clasificación automática de imágenes publicados entre 2008 y 2018. De los registros resultantes se buscaron los textos completos de los mismos, llevando a cabo un análisis del contenido para averiguar las técnicas más recurrentes y sus aplicaciones. Con todo ello, se hace patente que las tres técnicas más usadas para la clasificación automática de imágenes son los árboles de decisiones, redes neuronales y máquinas de vectores de soporte, siendo la aplicación de la clasificación automática muy variada, con la que se buscan automatizar procesos repetitivos, la inspección y vigilancias complejas, el control y desarrollo urbanístico o el reconocimiento y valoración tras catástrofes naturales, entre otros asuntos. Palabras clave: Clasificación automática de imágenes; técnicas y aplicaciones; revisión bibliográfica.

• Publication year

  2019

• Venue

  Unknown venue

• Publication date

  2019-06-15

• Fields of study

  Not labeled

• Identifiers
  DOI 10.31229/osf.io/d6ax4
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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