Listar Artículos de revista INAMAT2 - INAMAT2 aldizkari artikuluak por autor UPNA "Militino, Ana F."
Mostrando ítems 1-10 de 10
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Checking unimodality using isotonic regression: an application to breast cancer mortality rates
Rueda, C.; Ugarte Martínez, María Dolores
; Militino, Ana F. (Springer, 2016)
Artículo / Artikulua 
In some diseases it is well-known that a unimodal mortality pattern exists. A clear example in developed countries is breast cancer, where mortality increased sharply until the nineties and then decreased. This clear ... -
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 ... -
Flexible Bayesian P-splines for smoothing age-specific spatio-temporal mortality patterns
Goicoa Mangado, Tomás; Adin Urtasun, Aritz ; Etxeberria Andueza, Jaione ; Militino, Ana F. ; Ugarte Martínez, María Dolores (SAGE, 2019)
Artículo / Artikulua
In this paper age-space-time models based on one and two-dimensional P-splines with B-spline bases are proposed for smoothing mortality rates, where both xed relative scale and scale invariant two-dimensional penalties ... -
Improving the quality of satellite imagery based on ground-truth data from rain gauge stations
Militino, Ana F. ; Ugarte Martínez, María Dolores ; Pérez Goya, Unai (MDPI, 2018)
Artículo / Artikulua
Multitemporal imagery is by and large geometrically and radiometrically accurate, but the residual noise arising from removal clouds and other atmospheric and electronic effects can produce outliers that must be mitigated ... -
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 ... -
Logistic regression versus XGBoost for detecting burned areas using satellite images
Militino, Ana F. ; Goyena Baroja, Harkaitz; Pérez-Goya, Unai ; Ugarte Martínez, María Dolores (Springer, 2024)
Artículo / Artikulua
Classical statistical methods prove advantageous for small datasets, whereas machine learning algorithms can excel with larger datasets. Our paper challenges this conventional wisdom by addressing a highly significant ... -
On the performances of trend and change-point detection methods for remote sensing data
Militino, Ana F. ; Moradi, Mohammad Mehdi ; Ugarte Martínez, María Dolores (MDPI, 2020)
Artículo / Artikulua
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 ... -
Stochastic spatio-temporal models for analysing NDVI distribution of GIMMS NDVI3g images
Militino, Ana F. ; Ugarte Martínez, María Dolores ; Pérez Goya, Unai (MDPI, 2017)
Artículo / Artikulua
The normalized difference vegetation index (NDVI) is an important indicator for evaluating vegetation change, monitoring land surface fluxes or predicting crop models. Due to the great availability of images provided by ... -
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 ...
