Multidimensional digital filters for point-target detection in cluttered infrared scenes

Hugh L. Kennedy

doi:10.1117/1.JEI.23.6.063019

17 December 2014 Multidimensional digital filters for point-target detection in cluttered infrared scenes

Hugh L. Kennedy

Author Affiliations +

Journal of Electronic Imaging, Vol. 23, Issue 6, 063019 (December 2014). https://doi.org/10.1117/1.JEI.23.6.063019

Abstract

A three-dimensional (3-D) spatiotemporal prediction-error filter (PEF) is used to enhance foreground/background contrast in (real and simulated) sensor image sequences. Relative velocity is utilized to extract point targets that would otherwise be indistinguishable with spatial frequency alone. An optical-flow field is generated using local estimates of the 3-D autocorrelation function via the application of the fast Fourier transform (FFT) and inverse FFT. Velocity estimates are then used to tune in a background-whitening PEF that is matched to the motion and texture of the local background. Finite impulse response (FIR) filters are designed and implemented in the frequency domain. An analytical expression for the frequency response of velocity-tuned FIR filters, of odd or even dimension with an arbitrary delay in each dimension, is derived.

Citation Download Citation

Hugh L. Kennedy "Multidimensional digital filters for point-target detection in cluttered infrared scenes," Journal of Electronic Imaging 23(6), 063019 (17 December 2014). https://doi.org/10.1117/1.JEI.23.6.063019

Published: 17 December 2014

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