A special algorithm based on structure for ship classification

Bo Sun; Wei Guo; Jun He; Xiaoming Zhu

doi:10.1117/12.851143

15 April 2010 A special algorithm based on structure for ship classification

Bo Sun, Wei Guo, Jun He, Xiaoming Zhu

Proceedings Volume 7701, Visual Information Processing XIX; 77010Y (2010) https://doi.org/10.1117/12.851143
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

In this paper, we use the aspect ratio of a vessel for its recognition and classification with overhead images. For aspect ratio extraction, a morphology-based local adaptive threshold method of detection has been applied for a more accurate outline. With Radon transforms on the minimum bounding rectangle regions of those extracted outlines, central axis of each vessel can be got. Thus, the aspect ratio of a vessel could be accurately calculated through scanning the boundary contours of every target by lines along and perpendicular to the direction of central axis. If remote sensing information is also considered, such as the height and pitching angle of shooting, the real values of a vessel can also be calculated.

Citation Download Citation

Bo Sun, Wei Guo, Jun He, and Xiaoming Zhu "A special algorithm based on structure for ship classification", Proc. SPIE 7701, Visual Information Processing XIX, 77010Y (15 April 2010); https://doi.org/10.1117/12.851143

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