Ship Recognition by Integration of SAR and AIS

Abstract

A novel design of an integrated system using Synthetic Aperture Radar (SAR) image and Automatic Identification System (AIS) data is proposed in this paper for the purpose of identifying ships at sea. TerraSAR-X (R) (SpotLight mode) images and AIS data collected over Incheon Port (Korea) and Tokyo Bay (Japan) were used on different dates. Four main steps for integration of SAR and AIS based ships can be identified, namely: 'Time Matching' to retrieve the respective Dead Reckoning (DR) position of the ships at SAR image acquisition times; 'Position Matching' based on a nearest neighbourhood re-sampling method with compensation of position shift; 'Size Matching' and 'Speed Matching'. Under each of the matching criteria, the measurement error in each of the matching criteria was found to be less than 20% and the SAR extracted ship's hull boundaries were presented on a screen to display the system results. The results of this study will contribute to the design a Near-Real-Time (NRT) operational system for ship detection, identification, and classification by SARs in different data acquisition modes over various geographical locations at different acquisition times. This novel integrated system design will provide a most important preliminary step towards integration based on ships' hull monitoring in order to recognize 'friend' and 'foe' ship targets over a huge oceanic region and would be useful for coast guards as an early warning system.