By Topic

Aircraft recognition system using eigenvector technique

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)

The general task of the aircraft identification system is to select the important aspects and ignore the irrelevant data. The perimeter of the aircraft in the image plane possesses sufficient information for recognition. The contour of each aircraft was extracted using a morphological module and the perimeter was standardised in the gray level. The eigenvector technique was exploited to align the input image to a fixed orientation. The principal component analysis is used to create a new co-ordinate system for object representation where each aircraft is projected onto that plane and the projection coefficients are used for the purpose of recognition. The new features are invariant to translation, scale and rotation. The presented algorithm was tested and it was found that the recognition performance is 100% using only an x-l features where x is the number of the referenced aircraft

Published in:

Radio Science Conference, 1999. NRSC '99. Proceedings of the Sixteenth National

Date of Conference:

23-25 Feb 1999