Use of spectral clustering to enhance clutter suppression for hyperspectral change detection

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 6565, Issue , 2007, Pages

  Eismann, Michael T ^a   Meola, Joseph ^a  

^a AIR FORCE RESEARCH LABORATORY   (United States)

Author keywords

Change detection; Hyperspectral; Spectral clustering

Indexed keywords

CHANGE DETECTION; HYPERSPECTRAL; SPECTRAL CLUSTERING;

ALGORITHMS; ENVIRONMENTAL IMPACT; LIGHTING; OPTIMIZATION; VEGETATION;

SPECTRUM ANALYZERS;

EID: 35948987264     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.716659     Document Type: Conference Paper

References (6)

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4. J. Meola, et al., "Analysis of Hyperspectral Change Detection as Affected by Vegetation and Illumination Variation," Proceedings of the SPIE, vol. 6565-63 (2007).
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6. M.T. Eismann and D.W J. Stein, "Stochastic Mixture Modeling," in Hyperspectral Data Exploitation: Theory and Applications, C. Chang (ed.) (Wiley, New York, 2007).