Deep Learning Meets InSAR for Infrastructure Monitoring: A Systematic Review of Models, Applications, and Challenges

Miguel Fontes, Matúš Bakoň, António Cunha, Joaquim J. Sousa

Open source

DOI
10.3390/s25237169
Published
2025-11-24
Container
Sensors
Publisher
MDPI AG
Open access
unknown

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BibTeX

@article{allodium:10.3390/s25237169,
  title = {Deep Learning Meets InSAR for Infrastructure Monitoring: A Systematic Review of Models, Applications, and Challenges},
  author = {Miguel Fontes and Matúš Bakoň and António Cunha and Joaquim J. Sousa},
  year = {2025},
  journal = {Sensors},
  doi = {10.3390/s25237169},
  url = {https://doi.org/10.3390/s25237169}
}

RIS

TY  - JOUR
TI  - Deep Learning Meets InSAR for Infrastructure Monitoring: A Systematic Review of Models, Applications, and Challenges
AU  - Miguel Fontes
AU  - Matúš Bakoň
AU  - António Cunha
AU  - Joaquim J. Sousa
PY  - 2025
JO  - Sensors
DO  - 10.3390/s25237169
UR  - https://doi.org/10.3390/s25237169
ER  - 

APA

Fontes, M., Bakoň, M., Cunha, A., & Sousa, J. J. (2025). Deep Learning Meets InSAR for Infrastructure Monitoring: A Systematic Review of Models, Applications, and Challenges. Sensors. https://doi.org/10.3390/s25237169

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