MIT Libraries logoDSpace@MIT

MIT
View Item 
  • DSpace@MIT Home
  • MIT Open Access Articles
  • MIT Open Access Articles
  • View Item
  • DSpace@MIT Home
  • MIT Open Access Articles
  • MIT Open Access Articles
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Performance evaluation of hyperspectral detection algorithms for sub-pixel objects

Author(s)
Manolakis, Dimitris G.; Lockwood, Ronald B.; DiPietro, R. S.; Cooley, T.; Jacobson, J.
Thumbnail
DownloadDiPietro-2010-Performance evaluation of hyperspectral detection algorithms for subpixel objects.pdf (849.1Kb)
PUBLISHER_POLICY

Publisher Policy

Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.

Terms of use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Metadata
Show full item record
Abstract
One of the fundamental challenges for a hyperspectral imaging surveillance system is the detection of sub-pixel objects in background clutter. The background surrounding the object, which acts as interference, provides the major obstacle to successful detection. Two additional limiting factors are the spectral variabilities of the background and the object to be detected. In this paper, we evaluate the performance of detection algorithms for sub-pixel objects using a replacement signal model, where the spectral variability is modeled by multivariate normal distributions. The detection algorithms considered are the classical matched filter, the matched filter with false alarm mitigation, the mixture tuned matched filter and the finite target matched filter. These algorithms are compared using simulated and actual hyperspectral imaging data.
Date issued
2010-04
URI
http://hdl.handle.net/1721.1/60969
Department
Lincoln Laboratory
Journal
Proceedings of SPIE--the International Society for Optical Engineering; v.7695
Publisher
SPIE
Citation
R. S. DiPietro, D. Manolakis, R. Lockwood, T. Cooley and J. Jacobson, "Performance evaluation of hyperspectral detection algorithms for subpixel objects", Proc. SPIE 7695, 76951W (2010) © 2010 COPYRIGHT SPIE
Version: Final published version
ISSN
0277-786X

Collections
  • MIT Open Access Articles

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

Login

Statistics

OA StatisticsStatistics by CountryStatistics by Department
MIT Libraries
PrivacyPermissionsAccessibilityContact us
MIT
Content created by the MIT Libraries, CC BY-NC unless otherwise noted. Notify us about copyright concerns.