ALADDIn: Autoencoder-LSTM-Based Anomaly Detector of Deformation in InSAR

Shakeel, A, Walters, RJ, Ebmeier, SK orcid.org/0000-0002-5454-2652 et al. (1 more author) (2022) ALADDIn: Autoencoder-LSTM-Based Anomaly Detector of Deformation in InSAR. IEEE Transactions on Geoscience and Remote Sensing, 60. 4706512. ISSN 0196-2892

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Item Type: Article
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Keywords: Anomaly detection , earthquake , interferometric synthetic aperture radar (InSAR) , satellite radar data , unsupervised deep learning
Dates:
  • Published: 21 April 2022
  • Published (online): 21 April 2022
  • Accepted: 6 April 2022
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Inst of Geophysics and Tectonics (IGT) (Leeds)
Funding Information:
Funder
Grant number
NERC (Natural Environment Research Council)
NE/R015546/1
Depositing User: Symplectic Publications
Date Deposited: 08 Apr 2022 11:14
Last Modified: 29 Mar 2023 14:45
Status: Published
Publisher: IEEE
Identification Number: 10.1109/TGRS.2022.3169455
Open Archives Initiative ID (OAI ID):

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