By Topic

Feature-based aircraft identification in Hi-Res airborne ISAR images

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)
Ricardi, N. ; Dip. di Ing. Ind. e dell''Inf., Univ. of Pavia, Pavia, Italy ; Aprile, A. ; Dell'Acqua, F.

In this paper we propose a new method for aircraft identification and classification using high-resolution ISAR images acquired from an airborne radar sensor. The proposed method takes advantage of some of the geometric features extracted from the image, and some signal features as well (like the Jet Engine Modulation phenomenon that allows us detecting and analyzing the engines of the unknown aircraft). In the next session we will provide a brief explanation of the problem, in order to show the proposed method. An ad hoc classification database has been developed, containing physical characteristics of some aircrafts. Features extracted from radar data have been compared with the database content for classification and some preliminary results have already been obtained. These results appear encouraging and will be shown in the paper.

Published in:

Advances in Radar and Remote Sensing (TyWRRS), 2012 Tyrrhenian Workshop on

Date of Conference:

12-14 Sept. 2012