Satellite-based oil spill detection using an explainable ViR-SC hybrid deep learning ensemble for improved accuracy and transparency

Key Points

• Detection accuracy increased with the hybrid deep learning ensemble, enhancing transparency for users.
• The model combines satellite imagery and advanced explainable AI techniques to identify oil spills.
• Assessment of detection effectiveness shows significant improvement compared to traditional methods in various environments.
• Findings indicate that explainable AI methods may improve the understanding of detection processes, enhancing trust.