Statistical models for the classification of vehicles in MMW imagery

William Denton; Ralph Jackson; Catherine Lawlor; Adrian Britton; Andrew R. Webb

doi:10.1117/12.359955

24 August 1999 Statistical models for the classification of vehicles in MMW imagery

William Denton, Ralph Jackson, Catherine Lawlor, Adrian Britton, Andrew R. Webb

Proceedings Volume 3718, Automatic Target Recognition IX; (1999) https://doi.org/10.1117/12.359955
Event: AeroSense '99, 1999, Orlando, FL, United States

Abstract

In this paper we exploit high resolution millimeter wave radar ISAR imagery to develop a vehicle classification algorithm, which is robust to orientation and position of the vehicle in the scene. A template based approach is presented and the effect of a number of methods of creating templates investigated. To incorporate the effect of uncertainty in vehicle position and orientation, an approach based on mixture models is developed. The specification of the model is discussed and various approaches for determining the parameters of the model have been assessed. Preliminary results using mixture models to model vehicle signatures and uncertainties in position and orientation are presented. The models and techniques reported here provide a robust approach for general radar classification problems that incorporates uncertainty in a principled manner and improves generalization.

Citation Download Citation

William Denton, Ralph Jackson, Catherine Lawlor, Adrian Britton, and Andrew R. Webb "Statistical models for the classification of vehicles in MMW imagery", Proc. SPIE 3718, Automatic Target Recognition IX, (24 August 1999); https://doi.org/10.1117/12.359955

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