Automatic Ship Recognition Using A Passive Radiometric Sensor

Janmin Keng

doi:10.1117/12.932639

8 March 1982 Automatic Ship Recognition Using A Passive Radiometric Sensor

Janmin Keng

Proceedings Volume 0302, Infrared Technology for Target Detection and Classification; (1982) https://doi.org/10.1117/12.932639
Event: 25th Annual Technical Symposium, 1981, San Diego, United States

Abstract

Automatic ship recognition is of interest in such problems as over-the-horizon surface surveillance and targeting, long range air targeting, and satellite ocean surveillance. Our approach is model-driven. It uses the fact that the wake caused by a cruising ship has a higher temperature profile than the surrounding water background. In addition, we distinguish between the active wake and the turbulent water surrounding the ship. Furthermore, the temperature of the ship itself is usually lower than that of the ocean. Finally, we make use of the knowledge of ship sizes, convoy patterns and other information concerning ships traveling in formation. An image from a radiometric sensor forms the basis of the analysis. Edge detection and region association techniques are used to locate a "zone of activity", a region of the image that contains the ship. Grey level histogram analysis of the zone is then used to categorize pixels into "ship", "wake", and "water". Results of experiments using this technique are presented.

Citation Download Citation

Janmin Keng "Automatic Ship Recognition Using A Passive Radiometric Sensor", Proc. SPIE 0302, Infrared Technology for Target Detection and Classification, (8 March 1982); https://doi.org/10.1117/12.932639

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available