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Part of the Signal Processing Commons

Works by Michael T. Eismann in Signal Processing

2015

Hyperspectral Change Detection in the Presenceof Diurnal and Seasonal Variations, Michael T. Eismann, Joseph Meola, Russell C. Hardie
Russell C. Hardie

Anomaly Detection in Hyperspectral Imagery: Comparison of Methods Using Diurnal and Seasonal Data, Patrick C. Hytla, Russell C. Hardie, Michael T. Eismann, Joseph Meola
Russell C. Hardie

PDF

2009

Anomaly Detection in Hyperspectral Imagery: Comparison of Methods Using Diurnal and Seasonal Data, Patrick C. Hytla, Russell C. Hardie, Michael T. Eismann, Joseph Meola
Electrical and Computer Engineering Faculty Publications

PDF

2008

Hyperspectral Change Detection in the Presenceof Diurnal and Seasonal Variations, Michael T. Eismann, Joseph Meola, Russell C. Hardie
Electrical and Computer Engineering Faculty Publications

Link

2005

Hyperspectral Resolution Enhancement Using High-resolution Multispectral Imagery with Arbitrary Response Functions, Michael T. Eismann, Russell C. Hardie
Electrical and Computer Engineering Faculty Publications

Link

2004

Application of the Stochastic Mixing Model to Hyperspectral Resolution Enhancement, Michael T. Eismann, Russell C. Hardie
Electrical and Computer Engineering Faculty Publications

Link

 
 

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