Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Improved robustness of target location in nonhomogeneous backgrounds by use of the maximum-likelihood ratio test location algorithm

Not Accessible

Your library or personal account may give you access

Abstract

We address the problem of localizing small targets with random gray levels that appear in random background clutter. We consider the recently proposed maximum-likelihood ratio test (MLRT) algorithm, which scans the observed scene with an estimation window in which the local statistics are estimated. In the presence of a spatially homogeneous background, we show that if the estimation window is a few times larger than the target itself, the MLRT is quasi-equivalent to the optimal maximum-likelihood (ML) algorithm, which uses the whole scene for estimating the background statistics. The MLRT thus constitutes an efficient alternative to the ML algorithm and is more robust in dealing with spatially nonhomogeneous clutter since it utilizes a small estimation window.

© 1999 Optical Society of America

Full Article  |  PDF Article
More Like This
Detection of multiregion objects embedded in nonoverlapping noise

Javier García, Vincent Pagé, and Philippe Réfrégier
Opt. Lett. 26(18) 1394-1396 (2001)

Optimal algorithms for target location in nonhomogeneous binary images

Henrik Sjöberg, François Goudail, and Philippe Réfrégier
J. Opt. Soc. Am. A 15(12) 2976-2985 (1998)

Optimal χ2 filtering method and application to targets and backgrounds with random correlated gray levels

Frédéric Guérault and Philippe Réfrégier
Opt. Lett. 22(9) 630-632 (1997)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (2)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Tables (1)

You do not have subscription access to this journal. Article tables are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (4)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved