Kelly Canham

• ASD - Alexander Goetz Instrument Program (2011)
• DigitalGlobe - Winner of the "8 Band Challenge" (2011)

THESES

Canham, K., Large scale archaeological satellite classification and data mining tools, Ph.D. Dissertation, Rochester Institute of Technology, College of Science, Center for Imaging Science, Rochester, New York, United States, November (2012)

REFEREED JOURNAL ARTICLES

Canham, K.; Schlamm, A.; Ziemann, A.; Basener, B.; Messinger, D.W., Spatially adaptive hyperspectral endmember selection and spectral unmixing, IEEE Transactions on Geoscience and Remote Sensing , 49, 11 (2011)

CONFERENCE PROCEEDINGS

Canham, K.; Middleton, W.D.; Messinger, D.W.; Raqueno, N.G., Spectral library generation for hyperspectral archaeological validation, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII, Defense and Security Symposium, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII, 8390, Baltimore, Maryland, United States, June (2012)

Canham, K.; Schlamm, A.; Basener, B.; Messinger, D.W., High spatial resolution hyperspectral spatially adaptive endmember selection and spectral unmixing, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVII, Defense and Security Symposium, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVII, 8048, Orlando, Florida, United States, April (2011)