Deep neural network for oil spill detection using Sentinel-1 data: application to Egyptian coastal regions-Reference-Cited by-同舟云学术

Deep neural network for oil spill detection using Sentinel-1 data: application to Egyptian coastal regions

Published:2022-12-13 Issue:1 Volume:14 Page:76-94
ISSN:1947-5705
Container-title:Geomatics, Natural Hazards and Risk
language:en
Short-container-title:Geomatics, Natural Hazards and Risk

Author:

Ahmed Samira¹²,ElGharbawi Tamer³^ORCID,Salah Mahmoud⁴^ORCID,El-Mewafi Mahmoud¹^ORCID

Affiliation:

1. Public Works Engineering Department, Mansoura University, Mansoura, Egypt

2. Civil Engineering Department, Delta Higher Institute for Engineering and Technology, Talkha, Egypt

3. Faculty of Engineering, Suez Canal University, Ismailia, Egypt

4. Department of Surveying Engineering, Faculty of Engineering Shoubra, Benha University, Banha, Egypt

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/19475705.2022.2155998

Reference35 articles.

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5. Badrinarayanan V, Kendall A, Cipolla R. 2015. SegNet: a deep convolutional encoder-decoder architecture for image segmentation. Retrieved March 15, 2022, from http://mi.eng.cam.ac.uk/projects/segnet/.

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