Identification and Classification of Ships SAR Data Using Machine Learning

Abstract

SAR (Synthetic Aperture Radar) has been popular in Earth remote sensing because this is available for all-weather and night time, unlike optical sensors. Identification and classification of ships have been remarked from viewpoints of coast guard such as finding and monitoring marine accidents and poaching boats without Automatic Identification System (AIS). This research uses SAR data provided by PALSAR2/ALOS2. This research adopts the Convolutional Neural Network (CNN). The label is given to ship SAR image using AIS. Results with PALSAR 2 data with a resolution of 100 m/pixel showed high accuracy of 95%. This research showed the availability of a method to identification of ships from SAR images using CNN.