Autonomous extraction of millimeter-scale deformation in InSAR time series using deep learning.

Rouet-Leduc B, Jolivet R, Dalaison M, Johnson PA, Hulbert C

Open source

DOI: 10.1038/s41467-021-26254-3
Published: 2021 Nov 10
Container: Nature communications
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41467-021-26254-3,
  title = {Autonomous extraction of millimeter-scale deformation in InSAR time series using deep learning.},
  author = {Rouet-Leduc B and Jolivet R and Dalaison M and Johnson PA and Hulbert C},
  year = {2021},
  journal = {Nature communications},
  doi = {10.1038/s41467-021-26254-3},
  url = {https://doi.org/10.1038/s41467-021-26254-3}
}

RIS

TY  - JOUR
TI  - Autonomous extraction of millimeter-scale deformation in InSAR time series using deep learning.
AU  - Rouet-Leduc B
AU  - Jolivet R
AU  - Dalaison M
AU  - Johnson PA
AU  - Hulbert C
PY  - 2021
JO  - Nature communications
DO  - 10.1038/s41467-021-26254-3
UR  - https://doi.org/10.1038/s41467-021-26254-3
ER  -

APA

B, R., R, J., M, D., PA, J., & C, H. (2021). Autonomous extraction of millimeter-scale deformation in InSAR time series using deep learning.. Nature communications. https://doi.org/10.1038/s41467-021-26254-3

Source records

pubmed · retrieved 2026-09-26T14:14:32.304Z
europe-pmc · retrieved 2026-09-26T14:14:32.297Z
doaj · retrieved 2026-09-26T14:14:32.282Z
hal · retrieved 2026-09-26T14:14:32.321Z