Anomaly detection in hyperspectral imagery: Comparison of methods using diurnal and seasonal data

Journal of Applied Remote Sensing

Volumn 3, Issue 1, 2009, Pages

  Hytla, Patrick C ^a   Hardie, Russell C ^a   Eismann, Michael T ^b   Meola, Joseph ^b  

^a UNIVERSITY OF DAYTON   (United States)

^b AIR FORCE RESEARCH LABORATORY   (United States)

Author keywords

anomaly detection; change detection.; hyperspectral imagery

Indexed keywords

HYPERSPECTRAL IMAGING; MILITARY APPLICATIONS; REMOTE SENSING; SPECTROSCOPY;

ANOMALY DETECTION METHODS; CHANGE DETECTION; CHANGE DETECTION ALGORITHMS; COMPARISON OF METHODS; ELECTROMAGNETIC SPECTRA; ENVIRONMENTAL CONDITIONS; HYPER-SPECTRAL IMAGERIES; STATISTICAL BACKGROUND MODEL;

ANOMALY DETECTION;

EID: 77949790497     PISSN: None     EISSN: 19313195     Source Type: Journal    
DOI: 10.1117/1.3236689     Document Type: Article

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