Tropical Cyclone Detection from the Thermal Infrared Sensor IASI Data Using the Deep Learning Model YOLOv3
- DOI
- 10.3390/atmos14020215
- Published
- 2023-01-19
- Container
- Atmosphere
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/atmos14020215,
title = {Tropical Cyclone Detection from the Thermal Infrared Sensor IASI Data Using the Deep Learning Model YOLOv3},
author = {Lisa Lam and Maya George and Sébastien Gardoll and Sarah Safieddine and Simon Whitburn and Cathy Clerbaux},
year = {2023},
journal = {Atmosphere},
doi = {10.3390/atmos14020215},
url = {https://doi.org/10.3390/atmos14020215}
}RIS
TY - JOUR TI - Tropical Cyclone Detection from the Thermal Infrared Sensor IASI Data Using the Deep Learning Model YOLOv3 AU - Lisa Lam AU - Maya George AU - Sébastien Gardoll AU - Sarah Safieddine AU - Simon Whitburn AU - Cathy Clerbaux PY - 2023 JO - Atmosphere DO - 10.3390/atmos14020215 UR - https://doi.org/10.3390/atmos14020215 ER -
APA
Lam, L., George, M., Gardoll, S., Safieddine, S., Whitburn, S., & Clerbaux, C. (2023). Tropical Cyclone Detection from the Thermal Infrared Sensor IASI Data Using the Deep Learning Model YOLOv3. Atmosphere. https://doi.org/10.3390/atmos14020215
Source records
- crossref · retrieved 2026-11-10T10:26:16.666Z