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.