Ship Detection from Satellite Imagery Using Deep Learning Techniques to Control Deep Sea Oil Spills

Our planet Earth is presently being disturbed by a variety of environmental concerns. One of the top critical environmental issues affecting our planet's ecosystem is oil spills. Oil spills mostly occur due to ship leakage which highly influences our food supply chain and leads to a high-level drop in the economic division. Therefore, monitoring and tracking those vessels are extremely vital to determine the responsible ships for the occurrence of an incident. This study revolves around an implementation of an automated ship detection software application by building a high-level algorithm that embeds deep learning networks. The algorithm is built in a way that can predict and classify vessels from high-resolution satellite images with 98.5% accuracy.