Volcanic disaster scene classification of remote sensing image based on deep multi-instance network-Reference-Cited by-同舟云学术

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Volcanic disaster scene classification of remote sensing image based on deep multi-instance network

Published:2024-06-18 Issue: Volume: Page:
ISSN:1895-7455
Container-title:Acta Geophysica
language:en
Short-container-title:Acta Geophys.

Author:

Li Chengfan,Han Jingxin,Wu Chengzhi,Liu Lan,Liu Xuefeng,Zhao Junjuan

Funder

Natural Science Foundation of Shanghai

National Observation and Research Station of Jilin Changbaishan Volcano, Institute of Geology, China Earthquake Administration

Key Laboratory of National Geographic Census and Monitoring, Ministry of Natural Resources, Wuhan University

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11600-024-01394-4.pdf

Reference45 articles.

1. Adam D (2022) Tonga volcano eruption created puzzling ripples in Earth’s atmosphere. Nature 601(7894):497. https://doi.org/10.1038/d41586-022-00127-1

2. Alcaras E, Amoroso PP, Falchi U (2022) Using bi-temporal Sentinel-2 images to detect the effects of Hunga Tonga-Hunga Ha’apai eruption. In: Proceedings of the IEEE International Workshop on Metrology for the Sea Learning to Measure Sea Health Parameters (MetroSea), 3–5 October 2022, Milazzo, pp 127–132. https://doi.org/10.1109/METROSEA55331.2022.9950808

3. Amores J (2013) Multiple instance classification: review, taxonomy and comparative study. Artif Intell 201(4):81–105

4. Bohnenstiehl DWR, Dziak RP, Matsumoto H, Lau TKA (2013) Underwater acoustic records from the March 2009 eruption of Hunga Haa’pai-Hunga Tonga Volcano in the Kingdom of Tonga. J Volcanol Geoth Res 249(1):12–24. https://doi.org/10.1016/j.jvolgeores.2012.08.014

5. Cao H, Wang YY, Chen J, Jiang DS, Zhang XP, Tian Q, Wang MN (2022) Swin-Unet: Unet-like pure transformer for medical image segmentation. In: Proceedings of the 2022 European Conference on Computer Vision, Tel-Aviv, Springer, 23–27 October 2022, pp 205–218. https://doi.org/10.48550/arXiv.2105.05537

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