Performance of the MACH filter and DCCF algorithms in the presence of data compression

Bradley Walls; Abhijit Mahalanobis

doi:10.1117/12.359972

24 August 1999 Performance of the MACH filter and DCCF algorithms in the presence of data compression

Bradley Walls, Abhijit Mahalanobis

Proceedings Volume 3718, Automatic Target Recognition IX; (1999) https://doi.org/10.1117/12.359972
Event: AeroSense '99, 1999, Orlando, FL, United States

Abstract

The impact of wavelet based compression on automatic target recognition (ATR) is investigated by applying wavelet compression to test scenes. The correlation algorithms known as maximum average correlation height (MACH) filter and the distance classifier correlation (DCCF) filter are used for ATR. The impact of compressing the correlation filters is also studied. The wavelet compression algorithm makes use of a progressive technique of embedded zerotree wavelet coding followed by adaptive arithmetic coding. Two target data sets are used for testing and training in this study. The first is composed of infrared (IR) images of a T72 tank and BMP armored personnel carrier. The second is a set of synthetic aperture radar (SAR) targets from the publicly released Moving and Stationary Target Acquisition and Recognition (MSTAR) database.

Citation Download Citation

Bradley Walls and Abhijit Mahalanobis "Performance of the MACH filter and DCCF algorithms in the presence of data compression", Proc. SPIE 3718, Automatic Target Recognition IX, (24 August 1999); https://doi.org/10.1117/12.359972

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