Listar INAMAT2 - Institute for Advanced Materials and Mathematics por autor UPNA "Montesino San Martín, Manuel"
Mostrando ítems 1-4 de 4
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Filling missing data and smoothing altered data in satellite imagery with a spatial functional procedure
Militino, Ana F.
; Ugarte Martínez, María Dolores ; Montesino San Martín, Manuel (Springer, 2019)
Artículo / Artikulua 
Outliers and missing data are commonly found in satellite imagery. These are usually caused by atmospheric or electronic failures, hampering the correct monitoring of remote-sensing data. To avoid distorted data, we propose ... -
Locally adaptive change-point detection (LACPD) with applications to environmental changes
Moradi, Mohammad Mehdi ; Montesino San Martín, Manuel ; Ugarte Martínez, María Dolores ; Militino, Ana F. (Springer, 2021)
Artículo / Artikulua
We propose an adaptive-sliding-window approach (LACPD) for the problem of change-point detection in a set of time-ordered observations. The proposed method is combined with sub-sampling techniques to compensate for the ... -
Unpaired spatio-temporal fusion of image patches (USTFIP) from cloud covered images
Goyena Baroja, Harkaitz; Pérez Goya, Unai ; Montesino San Martín, Manuel ; Militino, Ana F. ; Wang, Qunming; Atkinson, Peter M.; Ugarte Martínez, María Dolores (Elsevier, 2023)
Artículo / Artikulua
Spatio-temporal image fusion aims to increase the frequency and resolution of multispectral satellite sensor images in a cost-effective manner. However, practical constraints on input data requirements and computational ... -
Using RGISTools to estimate water levels in reservoirs and lakes
Militino, Ana F. ; Montesino San Martín, Manuel ; Pérez Goya, Unai ; Ugarte Martínez, María Dolores (MDPI, 2020)
Artículo / Artikulua
The combination of freely accessible satellite imagery from multiple programs improves the spatio-temporal coverage of remote sensing data, but it exhibits barriers regarding the variety of web services, file formats, and ...
