Title :
EC-GLRT: Detecting Weak Plumes in Non-Gaussian Hyperspectral Clutter Using an Elliptically-Contoured Generalized Likelihood Ratio Test
Author :
Theiler, James ; Foy, Bernard R.
Author_Institution :
Los Alamos Nat. Lab., Los Alamos, NM
Abstract :
We investigate the behavior of a detector for weak gaseous plumes in hyperspectral imagery that can be derived in terms of a generalized likelihood ratio test (GLRT) applied to an elliptically-contoured (EC) model for the distribution of background clutter. Two limiting cases of this EC-GLRT detector are the adaptive matched filter (AMF) and the adaptive coherence estimator (ACE). While the general EC-GLRT detector does not share the specific optimality or invariance properties exhibited by these limiting cases, it provides an in-between model that can be competitive with both of them over a broad range of scenarios.
Keywords :
adaptive filters; atmospheric composition; clutter; matched filters; remote sensing; ACE; AMF; EC-GLRT detector; adaptive coherence estimator; adaptive matched filter; background clutter distribution; elliptically-contoured model; gaseous plumes; generalized likelihood ratio test; hyperspectral imagery; invariance properties; nonGaussian hyperspectral clutter; Chemical products; Coherence; Detectors; Hyperspectral imaging; Laboratories; Light rail systems; Matched filters; Maximum likelihood detection; Statistical distributions; Testing; chemical plume; generalized likelihood ratio test; hyperspectral imagery; matched filter; non-Gaussian distribution;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-2807-6
Electronic_ISBN :
978-1-4244-2808-3
DOI :
10.1109/IGARSS.2008.4778833
