Hierarchical machine learning for the automatic classification of surface deformation from SAR observations

Authors

Anna Barra (ORCID: https://orcid.org/0000-0001-6254-7931)
Pablo Ezquerro (ORCID: https://orcid.org/0000-0001-8667-5030)
Héctor Aguilera (ORCID: https://orcid.org/0000-0001-9046-5837)
Marta Béjar‐Pizarro (ORCID: https://orcid.org/0000-0001-7449-4048)
Jhonatan Steven Rivera Rivera (ORCID: https://orcid.org/0000-0001-6896-2765)
Carolina Guardiola-Albert (ORCID: https://orcid.org/0000-0003-4143-2216)

Publication Details

Journal: Artificial Intelligence in Geosciences
Published: 2025-12-09
DOI: https://doi.org/10.1016/j.aiig.2025.100171
Primary Topic: Synthetic Aperture Radar (SAR) Applications and Techniques
Type: article
Field-Weighted Citation Impact: 0.00

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article

Hierarchical machine learning for the automatic classification of surface deformation from SAR observations

Anna Barra, Pablo Ezquerro, Héctor Aguilera, Marta Béjar‐Pizarro et al.

Dec 9, 2025

Artificial Intelligence in Geosciences

Synthetic Aperture Radar (SAR) Applications and Techniques

article

Hierarchical machine learning for the automatic classification of surface deformation from SAR observations

Anna Barra, Pablo Ezquerro, Héctor Aguilera, Marta Béjar‐Pizarro, Jhonatan Steven Rivera Rivera, Carolina Guardiola-Albert

December 9, 2025article en

Abstract

No abstract available for this paper.

Artificial Intelligence in GeosciencesVol. 7(1)

Openalex Percentile: Top 49%

Synthetic Aperture Radar (SAR) Applications and Techniques

DOI Open Access PDF OpenAlex

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Hierarchical machine learning for the automatic classification of surface deformation from SAR observations — Anna Barra, Pablo Ezquerro, et al. · Artificial Intelligence in Geosciences (2025) | TGRS Research Map | TGRS