The　problem　of　oil　spills　is　lethal　to　the　ocean　ecosystem.　To　solve　the　problem,　one　of　the　most　important　key　steps　is　to　detect　the　ocean　surface　and　judge　whether　there　are　or　not　oil　spills.　Remote　sensing　provides　the　advantage　of　controlling　and　observing　events　remotely,　and　it　can　cover　the　areas　that　people　cannot　access,　so　we　use　it　to　build　a　database.　Next,　we　choose　to　use　Matlab　for　the　pre-image　processing　and　then　use　the　neural　network　by　Python　to　realize　and　there　are　five　pre-processing　methods:　expanding　the　dynamic　histogram　range　in　the　＇Y＇　channel　(method　1),　expanding　the　dynamic　histogram　range　in　three　channels　(method　2),　contrast　enhancement　(method　3),　expanding　the　dynamic　histogram　range　and　then　contrast　enhancement　(method　4),　and　contrast　enhancement,　and　then　expanding　the　dynamic　histogram　range　(method　5).　Finally,　we　use　a　neural　network　to　test　accuracy,　in　comparison,　method　1　is　the　best　and　we　improve　the　accuracy　from　72%　to　82%.　©　2022　Association　for　Computing　Machinery.