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Milillo, Pietro and Sacco, Gianfranco and Di Martire, Diego and Hook, Hua (2021) Neural-network pattern recognition experiments toward a full-automatic detection of anomalies in InSAR time-series of surface deformation. Frontiers in Earth Science. Frontiers Media S.A.. doi: 10.3389/feart.2021.728643. ISSN 2296-6463.
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Official URL: https://www.frontiersin.org/articles/10.3389/feart.2021.728643/abstract
| Item URL in elib: | https://elib.dlr.de/146456/ | ||||||||||||||||||||
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| Document Type: | Article | ||||||||||||||||||||
| Title: | Neural-network pattern recognition experiments toward a full-automatic detection of anomalies in InSAR time-series of surface deformation | ||||||||||||||||||||
| Authors: |
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| Date: | November 2021 | ||||||||||||||||||||
| Journal or Publication Title: | Frontiers in Earth Science | ||||||||||||||||||||
| Refereed publication: | Yes | ||||||||||||||||||||
| Open Access: | Yes | ||||||||||||||||||||
| Gold Open Access: | Yes | ||||||||||||||||||||
| In SCOPUS: | Yes | ||||||||||||||||||||
| In ISI Web of Science: | Yes | ||||||||||||||||||||
| DOI: | 10.3389/feart.2021.728643 | ||||||||||||||||||||
| Publisher: | Frontiers Media S.A. | ||||||||||||||||||||
| ISSN: | 2296-6463 | ||||||||||||||||||||
| Status: | Published | ||||||||||||||||||||
| Keywords: | Deep Learning, InSAR, deformations | ||||||||||||||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||||||
| HGF - Program: | Space | ||||||||||||||||||||
| HGF - Program Themes: | Earth Observation | ||||||||||||||||||||
| DLR - Research area: | Raumfahrt | ||||||||||||||||||||
| DLR - Program: | R EO - Earth Observation | ||||||||||||||||||||
| DLR - Research theme (Project): | R - Support TerraSAR-X/TanDEM-X operations | ||||||||||||||||||||
| Location: | Oberpfaffenhofen | ||||||||||||||||||||
| Institutes and Institutions: | Microwaves and Radar Institute Microwaves and Radar Institute > Spaceborne SAR Systems | ||||||||||||||||||||
| Deposited By: | Rizzoli, Paola | ||||||||||||||||||||
| Deposited On: | 30 Nov 2021 14:14 | ||||||||||||||||||||
| Last Modified: | 03 Mar 2024 13:15 |
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