Aircraft type recognition based on convex hull features and SVM

Yuan Liu; Xiuqin Wu; Richang Hong

doi:10.1117/12.750439

15 November 2007 Aircraft type recognition based on convex hull features and SVM

Yuan Liu, Xiuqin Wu, Richang Hong

Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 67863Q (2007) https://doi.org/10.1117/12.750439
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

Most current algorithms of aircraft type recognition are based on the binary images which are obtained by utilizing the technology of image segmentation. Thus the effect of image segmentation will influence the sequent classification to a great extent. Moreover, image segmentation in complex background remains a challenging research area. In our work, we propose a novel aircraft type recognition algorithm based on the aircrafts' convex hull features and Support Vector Machine (SVM). We first obtain the aircrafts' external contours while removing background. And then, we compute the planar convex hulls of the external contours. Based on the convex hulls, we combine the characteristics unique to the aircraft object, to introduce an extracting method of major symmetry axle and corresponding characters. Finally, we select the SVM which has high generalization capabilities and high performance in tackling small sample size in the pattern classification task to perform the classification. Experiment results show that the convex hull feature of aircraft object is approximately invariant, and can successfully eliminate the need to segment the object region from the complex background. The aircraft type recognition is efficient and feasible, and especially applicable for raw gray images.

Citation Download Citation

Yuan Liu, Xiuqin Wu, and Richang Hong "Aircraft type recognition based on convex hull features and SVM", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67863Q (15 November 2007); https://doi.org/10.1117/12.750439

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