A Binary Tree Classifier for Ship Targets

B. A. Parvin; B. H. Yin; R. J. Hickman; R. D. Holben

doi:10.1117/12.936656

9 January 1984 A Binary Tree Classifier for Ship Targets

B. A. Parvin, B. H. Yin, R. J. Hickman, R. D. Holben

Proceedings Volume 0432, Applications of Digital Image Processing VI; (1984) https://doi.org/10.1117/12.936656
Event: 27th Annual Technical Symposium, 1983, San Diego, United States

Abstract

This paper describes the design of a binary tree classifier for ship targets. The design methodology is general enough so that it can be utilized for other classification problems. A hierarchical clustering procedure is employed to i) discover the underlying structure of data, and ii) construct the binary tree skeleton. The best feature subset, at each nonterminal node of the tree skeleton, is selected through a multivariate stepwise procedure which attempts to maximize the class separability. Further, this stepwise approach continues, until the probability of error at each nonterminal node with respect to a quadratic discriminant function is minimized. The proposed tree classifier has been evaluated against 1300 samples and classification accuracy of 85% versus 62% for the single stage classifier is achieved.

Citation Download Citation

B. A. Parvin, B. H. Yin, R. J. Hickman, and R. D. Holben "A Binary Tree Classifier for Ship Targets", Proc. SPIE 0432, Applications of Digital Image Processing VI, (9 January 1984); https://doi.org/10.1117/12.936656

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