Anomaly detection in hyperspectral imagery: A comparison of methods using seasonal data

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 6565, Issue , 2007, Pages

  Hytla, Patrick ^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; Gaussian mixture model; Hyperspectral imagery

Indexed keywords

ANOMALY DETECTION; GAUSSIAN MIXTURE MODEL; HYPERSPECTRAL IMAGERY; MULTISPECTRAL IMAGERY;

DETECTORS; MATHEMATICAL MODELS; MILITARY OPERATIONS; REMOTE SENSING; TARGET TRACKING;

INFRARED IMAGING;

EID: 35948983049     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.718381     Document Type: Conference Paper

References (9)

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9. Meola, Joseph. Analysis of Hyperspectral Change and Target Detection as Affected by Vegetation and Illumination Variations. Thesis. University of Dayton, 2006.