Confuser rejection performance of EMACH filters for MSTAR ATR

David Casasent; Avinash Nehemiah

doi:10.1117/12.664206

17 April 2006 Confuser rejection performance of EMACH filters for MSTAR ATR

David Casasent, Avinash Nehemiah

Proceedings Volume 6245, Optical Pattern Recognition XVII; 62450D (2006) https://doi.org/10.1117/12.664206
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

Abstract

Synthetic aperture radar (SAR) automatic target recognition (ATR) based on the extended maximum average correlation height (EMACH) distortion invariant filter (DIF) is presented. Prior work on the EMACH filter addresses 3-class and 10 class classification with clutter rejection. However, the ability of the EMACH filter to reject confusers is not well known. This paper addresses this. We follow a benchmark procedure which involves classification of three object classes over 360° aspect angle differences and with depression angle and variant differences and rejection of two unseen confusers from the Moving and Stationary Target Acquisition and Recognition (MSTAR) public database. We present a scheme to select which training set images to include while making the filters, since it is not necessary to use all training set images to make the filters. Results for classification with both confuser and clutter rejection are presented. We also compare our work with prior EMACH MSTAR work. We find EMACH filters to have poor confuser and clutter rejection. We also correct prior EMACH clutter rejection performance results.

Citation Download Citation

David Casasent and Avinash Nehemiah "Confuser rejection performance of EMACH filters for MSTAR ATR", Proc. SPIE 6245, Optical Pattern Recognition XVII, 62450D (17 April 2006); https://doi.org/10.1117/12.664206

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