Técnicas y usos en la clasificación automática de imágenes

Gil-Leiva, Isidoro and Díaz-Ortuño, Pedro-Manuel and Rodríguez-Muñoz, José-Vicente Técnicas y usos en la clasificación automática de imágenes., 2019 (Submitted) [Preprint]

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English abstract

The production and generation of visual information through mobile phones and cameras is enormous. Also and mainly through remote sensing, through the acquisition of images of the earth's surface by means of planes, spacecraft and satellites that capture and serve data on meteorology, oceanography, geology, geography, geolocation, security, and so on. These image capture instruments generate visual information every day that cannot be manually processed, which is why various techniques and methods are used for the automatic extraction of useful knowledge. This literature review aims to understand the techniques and uses of automatic classification of images. In order to do this, the Scopus and WoS databases were used to locate documents on the automatic classification of images published between 2008 and 2018. The resulting records were searched for their full texts, carrying out a content analysis to find out the most recurrent techniques and their applications. As a result, it becomes evident that the three most commonly used techniques for the automatic classification of images are decision trees, neural networks and support vector machines, with the application of a wide variety of automatic classification, which seeks to automate repetitive processes, inspection and complex surveillance, urban control and development or recognition and assessment after natural disasters, among other aspects.

Spanish abstract

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.

Item type: Preprint
Keywords: Automatic classification of images; techniques and applications; literature review. Clasificación automática de imágenes; técnicas y aplicaciones; revisión bibliográfica.
Subjects: H. Information sources, supports, channels. > HH. Audio-visual, Multimedia.
I. Information treatment for information services > IB. Content analysis (A and I, class.)
Depositing user: Pedro Díaz
Date deposited: 12 Jul 2019 09:49
Last modified: 12 Jul 2019 09:49
URI: http://hdl.handle.net/10760/38798

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