首页|期刊导航|Artificial Intelligence in Geosciences|Hierarchical machine learning for the automatic classification of surface deformation from SAR observations

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

Jhonatan Rivera-Rivera Hector Aguilera Marta Bejar-Pizarro Carolina Guardiola-Albert Pablo Ezquerro Anna Barra

Artificial Intelligence in Geosciences2026，Vol.7Issue(1)：P.30-48,19.

Artificial Intelligence in Geosciences2026，Vol.7Issue(1)：P.30-48,19.DOI:10.1016/j.aiig.2025.100171

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

Jhonatan Rivera-Rivera ¹Hector Aguilera ²Marta Bejar-Pizarro ²Carolina Guardiola-Albert ²Pablo Ezquerro ³Anna Barra⁴

作者信息

1. Instituto Geologico y Minero de Espa˜na(IGME-CSIC),C Rios Rosas 23,28003,Spain Escuela Tecnica Superior de Ingenieros en Topografía,Geodesia y Cartografía,Universidad Politecnica de Madrid,Campus Sur-UPM Calle Mercator 2,28031,Spain
2. Instituto Geologico y Minero de Espa˜na(IGME-CSIC),C Rios Rosas 23,28003,Spain
3. Instituto Pirenaico de Ecología(IPE-CSIC),Av.Monta˜nana 1005,50059,Spain
4. Geomatics Research Unit,Centre Tecnologic de Telecomunicacions de Catalunya(CTTC/CERCA),Castelldefels,Spain
折叠

摘要

关键词

Ground deformation processes/Hierarchical machine learning/InSAR/Landslide/Subsidence

分类

天文与地球科学

引用本文复制引用

Jhonatan Rivera-Rivera,Hector Aguilera,Marta Bejar-Pizarro,Carolina Guardiola-Albert,Pablo Ezquerro,Anna Barra..Hierarchical machine learning for the automatic classification of surface deformation from SAR observations[J].Artificial Intelligence in Geosciences,2026,7(1):P.30-48,19.

基金项目

supported by Grant PRE2021-100044,funded by MCIN/AEI/10.13039/501100011033 （）

“FSE invests in your future” （）

by(SARAI)Project PID2020-116540RB-C22 funded by MCIN/AEI/10.13039/501100011033. （SARAI）

Artificial Intelligence in Geosciences

ISSN：2666-5441

访问量1

下载量0

段落导航