Ship Recognition by Integration of SAR and AIS SCIE SCOPUS

Cited 30 time in WEB OF SCIENCE Cited 31 time in Scopus
Title
Ship Recognition by Integration of SAR and AIS
Author(s)
Chaturvedi, Sudhir Kumar; Yang, Chan-Su; Ouchi, Kazuo; Shanmugam, Palanisamy
KIOST Author(s)
Yang, Chan Su(양찬수)
Publication Year
2012-04
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.
ISSN
0373-4633
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/3606
DOI
10.1017/S0373463311000749
Bibliographic Citation
JOURNAL OF NAVIGATION, v.65, no.2, pp.323 - 337, 2012
Publisher
CAMBRIDGE UNIV PRESS
Keywords
Ship Detection and Recognition; SAR; AIS; Integrated System
Type
Article
Language
English
Document Type
Article
Publisher
CAMBRIDGE UNIV PRESS
Related Researcher
Research Interests

Satellite Oceanography,Marine Safety & Security,Remote Sensing,위성해양학,해양 안전 및 보안,원격탐사

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