• Large-scale unsupervised spatio-temporal semantic analysis of vast regions from satellite images sequences 

      Echegoyen Arruti, Carlos; Pérez, Aritz; Santafé Rodrigo, Guzmán Upna Orcid; Pérez-Goya, Unai Upna Orcid; Ugarte Martínez, María Dolores Upna Orcid (Springer, 2024)   Artículo / Artikulua  OpenAccess
      Temporal sequences of satellite images constitute a highly valuable and abundant resource for analyzing regions of interest. However, the automatic acquisition of knowledge on a large scale is a challenging task due to ...
    • On the performances of trend and change-point detection methods for remote sensing data 

      Militino, Ana F. Upna Orcid; Moradi, Mohammad Mehdi Upna Orcid; Ugarte Martínez, María Dolores Upna Orcid (MDPI, 2020)   Artículo / Artikulua  OpenAccess
      Detecting change-points and trends are common tasks in the analysis of remote sensing data. Over the years, many different methods have been proposed for those purposes, including (modified) Mann-Kendall and Cox-Stuart ...

      El Repositorio ha recibido la ayuda de la Fundación Española para la Ciencia y la Tecnología para la realización de actividades en el ámbito del fomento de la investigación científica de excelencia, en la Línea 2. Repositorios institucionales (convocatoria 2020-2021).
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