Composite correlation filters for SAR image recognition

Daniel W. Carlson; Bhagavatula Vijaya Kumar; Robert R. Mitchell; Michael Hoffelder

doi:10.1117/12.242036

10 June 1996 Composite correlation filters for SAR image recognition

Daniel W. Carlson, Bhagavatula Vijaya Kumar, Robert R. Mitchell, Michael Hoffelder

Proceedings Volume 2757, Algorithms for Synthetic Aperture Radar Imagery III; (1996) https://doi.org/10.1117/12.242036
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

Abstract

Recent developments in composite correlation filter methods have improved the recognition and classification of an object over a range of image distortions. These correlation filters can be used for the automatic target cueing or recognition images. These new filter methods can be optimized for different correlation criteria in order to improve the recognition capability of the filter. In this paper we will present results of designing these distortion- tolerant correlation filters with simulated SAR imagery and testing with real and simulated SAR targets.

Citation Download Citation

Daniel W. Carlson, Bhagavatula Vijaya Kumar, Robert R. Mitchell, and Michael Hoffelder "Composite correlation filters for SAR image recognition", Proc. SPIE 2757, Algorithms for Synthetic Aperture Radar Imagery III, (10 June 1996); https://doi.org/10.1117/12.242036

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