By Topic

Model-based target recognition in pulsed ladar imagery

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
$33 $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)
Qinfen Zheng ; Center for Autom. Res., Maryland Univ., College Park, MD, USA ; S. Z. Der ; H. I. Mahmoud

A pulsed ladar based object-recognition system with applications to automatic target recognition (ATR) is presented. The approach used is to fit the sensed range images to range templates extracted through a laser physics based simulation applied to geometric target models. A projection-based prescreener filters out more than 80% of candidate templates. For recognition, an M of N pixel matching scheme for internal shape matching is combined with a silhouette matching scheme. The system was trained on synthetic data obtained from the simulation, and has been blind tested on a data set containing real ladar images of military vehicles at various orientations and ranges. Successful blind testing on real imagery demonstrates the utility of synthetic imagery for training of recognizers operating on ladar imagery

Published in:

IEEE Transactions on Image Processing  (Volume:10 ,  Issue: 4 )