James Albano

James Albano's picture

Student Information

Program of Study
Imaging Science
Graduation Year
2013
Ph.D. Dissertation Advisor
Dr. David Messinger

Research Details

Research Interests
His research interests include anomaly/target detection in hyperspectral imagery, multisensor fusion, statistical signal detection, data mining, and optical system design and analysis.

Personal Information

Contact Information
email: jaa8397@rit.edu
Title and Degrees
B.S. (highest honors) degree in Imaging Science at Rochester Institute of Technology, Rochester, New York, in 2008.

Scholarships/Awards

  • Department of Energy - Best Student Paper, Conference on Data Analysis (2012)
  • United States Geospatial-Information Foundation - United States Geospatial-Information Foundation Scholarship (2008)
  • Chester F. Carlson Center for Imaging Science - Carlson Scholarship (2006)

Publications

REFEREED JOURNAL ARTICLES

    Albano, J.A.; Messinger, D.W.; Rotman, S.R., Commute Time Distance Transformation Applied to Spectral Imagery and its Utilization in Material Clustering, Optical Engineering, 51, 7 (2012)


REFEREED CONFERENCE PROCEEDINGS

    Mercovich, R.; Albano, J.A.; Messinger, D.W., Techniques for the graph representation of spectral imagery, WHISPERS 2011, IEEE, Lisbon, Portugal, June (2011)

    Messinger, D.W.; Albano, J.A., A graph theoretic approach to anomaly detection in hyperspectral imagery, WHISPERS 2011, IEEE, June (2011)


CONFERENCE PROCEEDINGS

    Ziemann, A.; Messinger, D.W.; Albano, J.A.; Basener, B., Assessing the impact of background spectral graph construction techniques on the topological anomaly detection algorithm, 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)

    Albano, J.A.; Messinger, D.W., Euclidean commute time distance embedding and its application to spectral anomaly detection, 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)

    Albano, J.A.; Messinger, D.W.; Schlamm, A.; Basener, B., Graph theoretic metrics for spectral imagery with application to change detection, 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)