By Topic

Target recognition using a set of scale, rotation and translation invariant features extracted directly from the radar echoes

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 $31
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

2 Author(s)
Barbarossa, S. ; Infocom Dept., Rome Univ., Italy ; Scaglione, A.

We propose a method for classifying targets extracting a feature vector directly from the received signal without passing through the target radar image. The method assumes that the target is a rigid body and possesses at least four dominant scatterers. Besides these assumptions, no restrictions are imposed on the kind of relative motion between radar and target. The classification is performed in two main steps: feature extraction and template matching. Simulation results show application examples and performance of the proposed approach

Published in:

Radar 97 (Conf. Publ. No. 449)

Date of Conference:

14-16 Oct 1997