Deep residual U-Net for automatic detection of Moroccan coastal upwelling using SST images-Reference-Cited by-同舟云学术

Deep residual U-Net for automatic detection of Moroccan coastal upwelling using SST images

Published:2022-08-25 Issue:5 Volume:82 Page:7491-7507
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Snoussi Mohamed^ORCID,Tamim Ayoub,El Fellah Salma,El Ansari Mohamed

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-022-13692-4.pdf

Reference39 articles.

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4. Chaudhari S, Balasubramanian R, Gangopadhyay A (2008) Upwelling detection in AVHRR sea surface temperature (SST) images using neural-network framework. In: IGARSS 2008-2008 IEEE International Geoscience and Remote Sensing Symposium. IEEE, pp IV-926–IV-929. https://doi.org/10.1109/IGARSS.2008.4779875

5. Defence Science and Technology Laboratory (n.d.) Dstl satellite imagery feature detection. [Online]. Available: https://www.kaggle.com/c/dstl-satellite-imagery-feature-detection/. Accessed 06 Feb 2019

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