Publication:
Unpaired spatio-temporal fusion of image patches (USTFIP) from cloud covered images

Date

2023

Director

Publisher

Elsevier
Acceso abierto / Sarbide irekia
Artículo / Artikulua
Versión publicada / Argitaratu den bertsioa

Project identifier

AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-113125RB-I00/ES/recolecta
AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PDC2021-120796-I00/ES/recolecta
Métricas Alternativas

Abstract

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 cost prevent a wider adoption of these methods in real case-studies. We propose an ensemble of strategies to eliminate the need for cloud-free matching pairs of satellite sensor images. The new methodology called Unpaired Spatio-Temporal Fusion of Image Patches (USTFIP) is tested in situations where classical requirements are progressively difficult to meet. Overall, the study shows that USTFIP reduces the root mean square error by 2-to-13% relative to the state-of-the-art Fit-FC fusion method, due to an efficient use of the available information. Implementation of USTFIP through parallel computing saves up to 40% of the computational time required for Fit-FC.

Description

Keywords

Clouds, Fit-FC, Parallel computing, Satellite imagery, Spatio-temporal image fusion

Department

Estadística, Informática y Matemáticas / Estatistika, Informatika eta Matematika / Institute for Advanced Materials and Mathematics - INAMAT2

Faculty/School

Degree

Doctorate program

item.page.cita

Goyena, H., Pérez-Goya, U., Montesino-SanMartin, M., Militino, A. F., Wang, Q., Atkinson, P. M., & Ugarte, M. D. (2023). Unpaired spatio-temporal fusion of image patches (Ustfip) from cloud covered images. Remote Sensing of Environment, 295, 113709. https://doi.org/10.1016/j.rse.2023.113709

item.page.rights

© 2023 The Author(s). This is an open access article under the CC BY-NC-ND license.

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