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: | 20 Dec 2021 18:32 |
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