Transfer learning and single-polarized SAR image preprocessing for oil spill detection

Transfer learning and single-polarized SAR image preprocessing for oil spill detection

This study addresses the challenge of oil spill detection using Synthetic Aperture Radar (SAR) satellite imagery, employing deep learning techniques to improve accuracy and efficiency. We investigated the effectiveness of various neural network architectures and encoders for this task, focusing on s...

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Bibliographic Details
Main Authors: Nataliia Kussul, Yevhenii Salii, Volodymyr Kuzin, Bohdan Yailymov, Andrii Shelestov
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:ISPRS Open Journal of Photogrammetry and Remote Sensing
Subjects:
Oil spill detection
Synthetic aperture radar (SAR)
Deep learning
Image preprocessing
Transfer learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2667393224000255
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