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HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

In recent years, different deep learning techniques were applied to segment aerial and satellite images. Nevertheless, state of the art techniques for land cover segmentation does not provide accurate results to be used in real applications. This is a problem faced by institutions and companies that want to replace time-consuming and exhausting human work with AI technology. In this work, we propose a method that combines deep learning with a human-in-the-loop strategy to achieve expert-level results at a low cost. We use a neural network to segment the images. In parallel, another network is used to measure uncertainty for predicted pixels. Finally, we combine these neural networks with a human-in-the-loop approach to produce correct predictions as if developed by human photointerpreters. Applying this methodology shows that we can increase the accuracy of land cover segmentation tasks while decreasing human intervention.

No abstract

Este trabajo hace una aproximación al proceso de producción de noticias de dos periódicos de circulación nacional y medios de comunicación estatal de El Salvador, identifica la frecuencia con que reciben quejas, comentarios o interrogantes de las audiencias, cómo están organizados para atender las mismas y establece causas por las que no cuentan con un ombudsman. Surge como producto de dos investigaciones que han tenido como objetivo conocer la existencia de transparencia en la producción de noticias; la primera, realizada en dos periódicos impresos, y la segunda, en los medios estatales de comunicación. Todos los medios abordados cuentan con una jerarquía para decidir qué se publica, no promueven la participación de sus audiencias, atienden con prontitud las peticiones de rectificación o respuesta, pese a que ninguno tiene dicho procedimiento por escrito, y no cuentan con un ombudsman los periódicos por razones económicas y los medios estatales por falta de voluntad política.Realidad: Revista de Ciencias Sociales y Humanidades No. 149, 2017: 121-145