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Remote sensing images play a crucial role in large-scale surveillance and data analysis. To address challenges in monitoring and managing external threats to power optical fiber communication networks, this study integrates remote sensing images for network inspection. It proposes an anti-external damage system for power optical fiber communication networks based on remote sensing image target detection. The study enhances the YOLOv8 algorithm for improved object detection and utilizes a linear threshold model with specific risk factors to analyze and establish a robust anti-breakout system. Experimental tests and algorithm comparisons validate the system＇s feasibility and effectiveness. © 2025 SPIE.
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ISSN： 0277-786X
Year： 2025
Volume： 13521
Language： English
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