THE LOCALIZATION OF OIL LEAKS IN THE SEA USING SATELLITE AND DRONE IMAGES WITH ARTIFICIAL INTELLIGENCE MODELS

Abstract

Computer Vision, Deep Learning, and Machine Learning Algorithms make it possible to detect various dynamic issues in nature. Tankers, oil fields, oil pipelines, and hydrocarbon leaks and spills create serious problems for the sea ecosystems. [1] Utilizing this type of model can help detect oil leaks promptly, guide scientists’ predictions, compile cleaning plans, make urgent decisions on time, and stop or reduce the negative impacts of those incidents. Numerous recent scientific studies have been taken on this issue [2-7]. Illegal Pollution requires continuous monitoring and remote tracking technique employing satellites is an intriguing solution for the detection of oil leaks [8]. In this article, the solution to this problem is provided with the help of a recently updated model [9]. Specifically, emphasize the automatic approach of differentiation of oil marks and other similar marks.