OSA's Digital Library

Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: Joseph N. Mait
  • Vol. 50, Iss. 11 — Apr. 10, 2011
  • pp: 1601–1605

Sparse-representation-based clutter metric

Cui Yang, Jie Wu, Qian Li, and Jian-Qi Zhang  »View Author Affiliations


Applied Optics, Vol. 50, Issue 11, pp. 1601-1605 (2011)
http://dx.doi.org/10.1364/AO.50.001601


View Full Text Article

Enhanced HTML    Acrobat PDF (414 KB)





Browse Journals / Lookup Meetings

Browse by Journal and Year


   


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools

Share
Citations

Abstract

Background clutter is becoming one of the most important factors affecting the target acquisition performance of electro-optical imaging systems. A novel clutter metric based on sparse representation is proposed in this paper. Based on sparse representation, the similarity vector is defined to describe the similarity between the background and the target in the feature domain, which is a typical feature of the background clutter. This newly proposed metric is applied to the Search_2 data set, and the experiment results show that its prediction correlates well with the detection probability of observers.

© 2011 Optical Society of America

OCIS Codes
(100.0100) Image processing : Image processing
(100.2960) Image processing : Image analysis
(110.2970) Imaging systems : Image detection systems
(100.4995) Image processing : Pattern recognition, metrics

ToC Category:
Image Processing

History
Original Manuscript: August 25, 2010
Revised Manuscript: January 21, 2011
Manuscript Accepted: February 1, 2011
Published: April 7, 2011

Citation
Cui Yang, Jie Wu, Qian Li, and Jian-Qi Zhang, "Sparse-representation-based clutter metric," Appl. Opt. 50, 1601-1605 (2011)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-50-11-1601

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Log in to access OSA Member Subscription

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

Contact your librarian or system administrator
or
Log in to access OSA Member Subscription

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

Contact your librarian or system administrator
or
Log in to access OSA Member Subscription

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

Contact your librarian or system administrator
or
Log in to access OSA Member Subscription

« Previous Article  |  Next Article »

OSA is a member of CrossRef.

CrossCheck Deposited