81. Eyal Madar, M.Sc. (2010)

Thesis Title:   “Combined Local-Global Background Modeling for Anomaly Detection in Hyperspectral Images”

Seminar Abstract: “Combined Local-Global Background Modeling for Anomaly Detection in Hyperspectral Images”

Seminar: “Local-Global Background Modeling For Anomaly Detection In Hyperspectral Images”
 
Co-supervisor:  Dr. Meir Barzohar 

Thesis Related Publications

• E. Madar, D. Malah, and M. Barzohar “Non-Gaussian Background Modeling For Anomaly Detection In Hyperspectral Images“, European Signal ProcessingConference, EUSIPCO-2011, Barcelona, Spain, Aug. 2011. Poster
• E. Madar, O. Kuybeda, D. Malah, and M. Barzohar “Local-Global Backckground Modeling For Anomaly Detection In Hyperspectral Images“, IEEE WHISPERS workshop on Hyperspectral Image and Signal Processing, Grenoble, France, Aug. 2009. Presentation