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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: James C. Wyant
  • Vol. 47, Iss. 28 — Oct. 1, 2008
  • pp: F12–F26

Quantitative comparison of quadratic covariance-based anomalous change detectors

James Theiler  »View Author Affiliations


Applied Optics, Vol. 47, Issue 28, pp. F12-F26 (2008)
http://dx.doi.org/10.1364/AO.47.000F12


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Abstract

Simulations applied to hyperspectral imagery from the AVIRIS sensor are employed to quantitatively evaluate the performance of anomalous change detection algorithms. The evaluation methodology reflects the aim of these algorithms, which is to distinguish actual anomalous changes in a pair of images from the incidental differences that pervade the entire scene. By simulating both the anomalous changes and the pervasive differences, accurate and plentiful ground truth is made available, and statistical estimates of detection and false alarm rates can be made. Comparing the receiver operating characteristic (ROC) curves that encapsulate these rates provides a way to identify which algorithms work best under which conditions.

© 2008 Optical Society of America

OCIS Codes
(280.0280) Remote sensing and sensors : Remote sensing and sensors
(150.1135) Machine vision : Algorithms
(110.4234) Imaging systems : Multispectral and hyperspectral imaging

ToC Category:
Detectors

History
Original Manuscript: March 3, 2008
Manuscript Accepted: May 8, 2008
Published: June 26, 2008

Citation
James Theiler, "Quantitative comparison of quadratic covariance-based anomalous change detectors," Appl. Opt. 47, F12-F26 (2008)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-47-28-F12


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