Ship Detection in Navy Using Satellite Images by Deep Learning Approach

Ship identification in satellite images poses significant challenges within the domain of remote sensing. Its importance extends to critical areas such as security, encompassing concerns military attacks, accidents, illegal transportation goods, fishing, territorial violations, and ship hijackings. Additionally, effective traffic management smuggling prevention heavily rely on accurate identification. While synthetic aperture radar (SAR) has historically dominated maritime monitoring, researchers are increasingly exploring optical a potential alternative. Previous detection techniques have utilized Computer-based image processing vision methods. However, this study proposes novel approach employing Convolutional Neural Network (CNN) based method accurately identify ships data. The suggested entails utilization assessment custom-designed deep learning model CNN architecture. recognize photos. Keywords - detection, images, Networks.